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Unity for whom? Theological reflections on South Africa’s 2024 Government of National Unity

Author: Vilakati Matin V
Bentley Wessel
Publication venue: Stellenbosch Theological Journal
Publication date: 01/01/2024
Field of study

Three decades into South Africa’s democracy, the 2024 elections precipitated a significant political shift, solidifying coalition governance and prompting the re-emergence of a Government of National Unity (GNU). This article analyses the GNU’s potential and challenges within this evolving political landscape, specifically examining the intersection of theology and governance. Drawing upon economic and social justice, unity, social cohesion, partnership, and ethical governance themes, the article explores how theological insights can shape political discourse and leadership. It posits that the church holds a crucial prophetic role in advocating for transformation, stewardship, and ethical governance, ultimately striving for a more just, equitable, and unified society. By integrating theological perspectives into the analysis of coalition politics and governance, this article provides a nuanced understanding of its implications for South African society.Research Institute for Theology and Religio

Research Proposal Guiding Tool for M & D Studies_2024

Author: Mphahlele Ramashego Shila Shorty
Publication venue
Publication date: 13/11/2024
Field of study

Institute for Open and Distance Learning (IODL

The development and validation of a spiritual leadership scale within the South African context

Author: Grobler Anton
Sibanda Khumbulani
Publication venue
Publication date: 2024
Field of study

Orientation: Globalisation and the coronavirus disease 2019 (COVID-19) pandemic resulted in a change in leadership in the work environment – this necessitated a relook into classical leadership constructs, but importantly, with the consideration of contextual influences. Spiritual leadership (SpL), which is the focus of this article, has however been predominantly viewed from a Eurocentric perspective. Research purpose: To develop and validate an instrument to measure SpL within the South African context. Motivation for the study: It is argued that SpL is important for organisational performance, employee contentment and wellness. Albeit the theory of SpL carries academic rigour and potency, it has not yet converted into an empirically developed and tested instrument within the South African organisational context. Research approach/design and method: This empirical study was conducted from a quantitative positivist paradigm, utilising a cross-sectional design. A total of 5308 participants completed the self-administered survey from organisations in both the public and private sectors. The analysis includes item screening, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), test for common method bias (CMB), determination of convergent validity and invariance analysis (configural, metric and scalar). Main findings: The results yielded reliable and valid SpL instrument, which is invariant with regards to the private and public sectors used in this study. The results of the study were also not influenced by CMB. Practical/managerial implications: This study provides a validated contextualised scale that can be used to measure leadership efficiency and efficacy. Contribution/value-add: The practical and academic value is the newly developed SpL instrument for the context of South African organisations. It can thus be used with confidence by organisational researchers and academics.Graduate School of Business Leadershi

Search for flavour-changing neutral-current couplings between the top quark and the Higgs boson in multi-lepton final states in 13 TeV pp collisions with the ATLAS detector

Author: Aad G.
Aakvaag E.
Abbott B.
Abeling K.
Abicht N. J.
Abidi S. H.
Aboelela M.
Aboulhorma A.
Abramowicz H.
Abreu H.
Abulaiti Y.
Acharya B. S.
Ackermann A.
Bourdarios C. A.
Adamczyk L.
Addepalli S. V.
Addison M. J.
Adelman J.
Adiguzel A.
Adye T.
Affolder A. A.
Afik Y.
Agaras M. N.
Agarwala J.
Aggarwal A.
Agheorghiesei C.
Ahmad A.
Ahmadov F.
Ahmed W. S.
Ahuja S.
Ai X.
Aielli G.
Aikot A.
Tamlihat M. A.
Aitbenchikh B.
Aizenberg I.
Akbiyik M.
Åkesson T. P. A.
Akimov A. V.
Akiyama D.
Akolkar N. N.
Aktas S.
Khoury K. A.
Alberghi G. L.
Albert J.
Albicocco P.
Albouy G. L.
Alderweireldt S.
Alegria Z. L.
Aleksa M.
Aleksandrov I. N.
Alexa C.
Alexopoulos T.
Alfonsi F.
Algren M.
Alhroob M.
Ali B.
Ali H. M. J.
Ali S.
Alibocus S. W.
Aliev M.
Alimonti G.
Alkakhi W.
Allaire C.
Allbrooke B. M. M.
Allen J. F.
Flores C. A. A.
Allport P. P.
Aloisio A.
Alonso F.
Alpigiani C.
Estevez M. A.
Fernandez A. A.
Cardoso M. A.
Alviggi M. G.
Aly M.
Coutinho Y. A.
Ambler A.
Amelung C.
Amerl M.
Ames C. G.
Amidei D.
Amirie K. J.
Santos S. P. A. D.
Amos K. R.
An S.
Ananiev V.
Anastopoulos C.
Andeen T.
Anders J. K.
Andrean S. Y.
Andreazza A.
Angelidakis S.
Angerami A.
Anisenkov A. V.
Annovi A.
Antel C.
Anthony M. T.
Antipov E.
Antonelli M.
Anulli F.
Aoki M.
Aoki T.
Pozo J. A. A.
Aparo M. A.
Bella L. A.
Appelt C.
Apyan A.
Val S. J. A.
Arcangeletti C.
Arce A. T. H.
Arena E.
Arguin J.-F.
Argyropoulos S.
Arling J. -.
Arnaez O.
Arnold H.
Artoni G.
Asada H.
Asai K.
Asai S.
Asbah N. A.
Assamagan K.
Astalos R.
Astrand K. S. V.
Atashi S.
Atkin R. J.
Atkinson M.
Atmani H.
Atmasiddha P. A.
Augsten K.
Auricchio S.
Auriol A. D.
Austrup V. A.
Avolio G.
Axiotis K.
Azuelos G.
Babal D.
Bachacou H.
Bachas K.
Bachiu A.
Backman F.
Badea A.
Baer T. M.
Bagnaia P.
Bahmani M.
Bahner D.
Bai K.
Baines J. T.
Baines L.
Baker O. K.
Bakos E.
Gupta D. B.
Balakrishnan V.
Balasubramanian R.
Baldin E. M.
Balek P.
Ballabene E.
Balli F.
Baltes L. M.
Balunas W. K.
Balz J.
Banas E.
Bandieramonte M.
Bandyopadhyay A.
Bansal S.
Barak L.
Barakat M.
Barberio E. L.
Barberis D.
Barbero M.
Barel M. Z.
Barends K. N.
Barillari T.
Barisits M.-S.
Barklow T.
Baron P.
Moreno D. A. B.
Baroncelli A.
Barone G.
Barr A. J.
Barr J. D.
Barreiro F.
da Costa J. B. G.
Barron U.
Teixeira M. G. B.
Barsov S.
Bartels F.
Bartoldus R.
Barton A. E.
Bartos P.
Basan A.
Baselga M.
Bassalat A.
Basso M. J.
Bate R.
Bates R. L.
Batlamous S.
Batool B.
Battaglia M.
Battulga D.
Bauce M.
Bauer M.
Bauer P.
Hurrell L. T. B.
Beacham J. B.
Beau T.
Beaucamp J. Y.
Beauchemin P. H.
Bechtle P.
Beck H. P.
Becker K.
Beddall A. J.
Bednyakov V. A.
Bee C. P.
Beemster L. J.
Beermann T. A.
Begalli M.
Begel M.
Behera A.
Behr J. K.
Beirer J. F.
Beisiegel F.
Belfkir M.
Bella G.
Bellagamba L.
Bellerive A.
Bellos P.
Beloborodov K.
Benchekroun D.
Bendebba F.
Benhammou Y.
Benkendorfer K. C.
Beresford L.
Beretta M.
Kuutmann E. B.
Berger N.
Bergmann B.
Beringer J.
Bernardi G.
Bernius C.
Bernlochner F. U.
Bernon F.
Guardia A. B.
Berry T.
Berta P.
Berthold A.
Bethke S.
Betti A.
Bevan A. J.
Bhalla N. K.
Bhamjee M.
Bhatta S.
Bhattacharya D. S.
Bhattarai P.
Bhide K. D.
Bhopatkar V. S.
Bianchi R. M.
Bianco G.
Biebel O.
Bielski R.
Biglietti M.
Billingsley C. S.
Bindi M.
Bingul A.
Bini C.
Biondini A.
Birch-sykes C. J.
Bird G. A.
Birman M.
Biros M.
Biryukov S.
Bisanz T.
Bisceglie E.
Biswal J. P.
Biswas D.
Bjørke K.
Bloch I.
Blue A.
Blumenschein U.
Blumenthal J.
Bobrovnikov V. S.
Boehler M.
Boehm B.
Bogavac D.
Bogdanchikov A. G.
Bohm C.
Boisvert V.
Bokan P.
Bold T.
Bomben M.
Bona M.
Boonekamp M.
Booth C. D.
Borbély A. G.
Bordulev I. S.
Borecka-Bielska H. M.
Borissov G.
Bortoletto D.
Boscherini D.
Bosman M.
Sola J. D. B.
Bouaouda K.
Bouchhar N.
Boudreau J.
Bouhova-Thacker E. V.
Boumediene D.
Bouquet R.
Boveia A.
Boyd J.
Boye D.
Boyko I. R.
Bracinik J.
Brahimi N.
Brandt G.
Brandt O.
Braren F.
Brau B.
Brau J. E.
Brener R.
Brenner L.
Brenner R.
Bressler S.
Britton D.
Britzger D.
Brock I.
Brooijmans G.
Brost E.
Brown L. M.
Bruce L. E.
Bruckler T. L.
de Renstrom P. A. B.
Brüers B.
Bruni A.
Bruni G.
Bruschi M.
Bruscino N.
Buanes T.
Buat Q.
Buchin D.
Buckley A. G.
Bulekov O.
Bullard B. A.
Burdin S.
Burgard C. D.
Burger A. M.
Burghgrave B.
Burlayenko O.
Burr J. T. P.
Burton C. D.
Burzynski J. C.
Busch E. L.
Büscher V.
Bussey P. J.
Butler J. M.
Buttar C. M.
Butterworth J. M.
Buttinger W.
Vazquez C. J. B.
Buzykaev A. R.
Urbán S. C.
Cadamuro L.
Caforio D.
Cai H.
Cai Y.
Cai Y.
Cairo V. M. M.
Cakir O.
Calace N.
Calafiura P.
Calderini G.
Calfayan P.
Callea G.
Caloba L. P.
Calvet D.
Calvet S.
Calvetti M.
Toro R. C.
Camarda S.
Munoz D. C.
Camarri P.
Camerlingo M. T.
Cameron D.
Camincher C.
Campanelli M.
Camplani A.
Canale V.
Canbay A. C.
Canonero E.
Cantero J.
Cao Y.
Capocasa F.
Capua M.
Carbone A.
Cardarelli R.
Cardenas J. C. J.
Cardillo F.
Carducci G.
Carli T.
Carlino G.
Carlotto J. I.
Carlson B. T.
Carlson E. M.
Carminati L.
Carnelli A.
Carnesale M.
Caron S.
Carquin E.
Carrá S.
Carratta G.
Carroll A. M.
Carter T. M.
Casado M. P.
Caspar M.
Castillo F. L.
Garcia L. C.
Gimenez V. C.
Castro N. F.
Catinaccio A.
Catmore J. R.
Cavaliere T.
Cavaliere V.
Cavalli N.
Cekmecelioglu Y. C.
Celebi E.
Cella S.
Celli F.
Centonze M. S.
Cepaitis V.
Cerny K.
Cerqueira A. S.
Cerri A.
Cerrito L.
Cerutti F.
Cervato B.
Cervelli A.
Cesarini G.
Cetin S. A.
Chakraborty D.
Chan J.
Chan W. Y.
Chapman J. D.
Chapon E.
Chargeishvili B.
Charlton D. G.
Chatterjee M.
Chauhan C.
Che Y.
Chekanov S.
Chekulaev S. V.
Chelkov G. A.
Chen A.
Chen B.
Chen B.
Chen H.
Chen H.
Chen J.
Chen J.
Chen M.
Chen S.
Chen S. J.
Chen X.
Chen X.
Chen Y.
Cheng C. L.
Cheng H. C.
Cheong S.
Cheplakov A.
Cheremushkina E.
Cherepanova E.
Moursli R. C. E.
Cheu E.
Cheung K.
Chevalier L.
Chiarella V.
Chiarelli G.
Chiedde N.
Chiodini G.
Chisholm A. S.
Chitan A.
Chitishvili M.
Chizhov M. V.
Choi K.
Chou Y.
Chow E. Y. S.
Chu K. L.
Chu M. C.
Chu X.
Chudoba J.
Chwastowski J. J.
Cieri D.
Ciesla K. M.
Cindro V.
Ciocio A.
Cirotto F.
Citron Z. H.
Citterio M.
Ciubotaru D. A.
Clark A.
Clark P. J.
Publication venue
Publication date: 2024
Field of study

Abstract A search is presented for flavour-changing neutral-current interactions involving the top quark, the Higgs boson and an up-type quark (

q=u,c

q = u , c ) with the ATLAS detector at the Large Hadron Collider. The analysis considers leptonic decays of the top quark along with Higgs boson decays into two

W

W bosons, two

Z

Z bosons or a

\tau ^{+}\tau ^{-}

τ + τ - pair. It focuses on final states containing either two leptons (electrons or muons) of the same charge or three leptons. The considered processes are

t\bar{t}

t t ¯ and Ht production. For the

t\bar{t}

t t ¯ production, one top quark decays via

t\rightarrow Hq

t → H q . The proton–proton collision data set analysed amounts to

({140}\,{\hbox {fb}^{-1}})

( 140 fb - 1 ) at

(\sqrt{s}={13}\,\hbox {TeV})

( s = 13 TeV ) . No significant excess beyond Standard Model expectations is observed and upper limits are set on the

t\rightarrow Hq

t → H q branching ratios at 95 % confidence level, amounting to observed (expected) limits of

\mathcal {B}(t\rightarrow Hu)<2.8\,(3.0) \times 10^{-4}

B ( t → H u ) < 2.8 ( 3.0 ) × 10 - 4 and

\mathcal {B}(t\rightarrow Hc)<3.3\,(3.8) \times 10^{-4}

B ( t → H c ) < 3.3 ( 3.8 ) × 10 - 4 . Combining this search with other searches for

tHq

tHq flavour-changing neutral-current interactions previously conducted by ATLAS, considering

H\rightarrow b\bar{b}

H → b b ¯ and

H\rightarrow \gamma \gamma

H → γ γ decays, as well as

H\rightarrow \tau ^{+}\tau ^{-}

H → τ + τ - decays with one or two hadronically decaying

\tau

τ -leptons, yields observed (expected) upper limits on the branching ratios of

\mathcal {B}(t\rightarrow Hu)<2.6\,(1.8) \times 10^{-4}

B ( t → H u ) < 2.6 ( 1.8 ) × 10 - 4 and

\mathcal {B}(t\rightarrow Hc)<3.4\,(2.3) \times 10^{-4}

B ( t → H c ) < 3.4 ( 2.3 ) × 10 - 4

Active allocation in private debt using natural language processing with alternative data sources

Author: Royden-Turner Stuart Jack
Publication venue
Publication date: 06/01/2024
Field of study

Abstract in English with Zulu and Afrikaans translationPortfolio analysis is benefiting from the surge of alternative sources of data coupled with new modelling frameworks, introduced by machine-learning. I collected alternative data and applied new frameworks (machine-learning techniques and technology) to the domain of private debt. This is an interesting and complex asset class, which has a significant shortage of data from which to model. To counter this issue, I incorporated advanced macro-finance and asset-pricing models. Such will provide the correct context in which to model this asset class as part of a sophisticated multi-asset portfolio construction framework. To ensure that the credit-risk models are fully understood, I selected a modelling technique from a broad array of options in a mature environment of credit modelling largely performed in banking (whilst ensuring the technique is suitable for asset management). The modelling framework is geared to account for the dynamics of business cycles, this being an important results driver in unlisted credit and other asset classes alike. My thorough macro-finance research allows me to design non-trivial processes to incorporate alternative signals as part of an asset-pricing framework on which to generate information for use in portfolio construction via the data simulated. My economic scenario generator considers the relative changes to asset classes at various points in the business cycle as part of a long-term investment program suitable for a defined-benefit pension funds portfolio. The final portfolio models are put together using a reinforcement learning framework. This framework connects the macro- finance theory dealing with the business cycle dynamics, together with the credit-risk techniques, to portfolio modelling techniques which I believe compounds to a sophisticated modelling framework for strategic asset allocation in a data-sparse environment.Portefeulje-analise trek voordeel uit die opwelling aan alternatiewe databronne, gekoppel met nuwe modelleringsraamwerke wat uit masjienleer spruit. Ek het alternatiewe data versamel en nuwe raamwerke (masjienleertegnieke en -tegnologie e) toegepas in die gebied van private skuld. Dit is 'n interessante en komplekse bateklas wat 'n beduidende gebrek aan modelleringsdata het. Om die kwessie die hoof te bied, het ek gevorderde makrofinansi ele en batebeprysingsmodelle ge nkorporeer. Daardeur word die korrekte konteks verskaf vir die modellering van hierdie bateklas as deel van die raamwerk vir die 'n geso stikeerde meerbate-portefeuljekonstruksie. Ten einde te verseker dat die kredietrisiko-modelle volledig begryp word, het ek 'n modelleringstegniek gekies uit 'n uitgebreide reeks opsies binne 'n volgroeide kredietmodelleringsomgewing wat hoofsaaklik in die bankwese verwend word (onderwyl daar verseker word dat die tegniek geskik is vir batebestuur). Die modelleringsraamwerk is gerat om die dinamiek van die konjunktuur (sakesiklus) in berekening te neem aangesien dit 'n beduidende dryfkrag is vir ongenoteerde krediet en eweneens vir ander bateklasse. My deeglike navorsing in makro nansies laat my toe om nie-triviale prosesse te ontwerp om alternatiewe seine as deel van 'n batebeprysingsraamwerk waarop inligting vir gebruik in die portefeuljekonstruksie gegenereer word, te inkorporeer. My generator vir ekonomiese scenarios neem die relatiewe veranderings in bateklasse op verskillende tydstippe in die konjunktuur in ag as deel van 'n langtermyn-beleggingsprogram wat geskik is vir 'n gede nieerde voordeel-pensioenfondsportefeulje. Die uiteindelike portefeuljemodelle word saamgestel deur 'n versterkingsleer-raamwerk te gebruik. Die raamwerk verbind die makro nansies-teorie vir die konjunktuurdinamiek asook die kredietrisiko-tegnieke met portefeuljemodelleringstegnieke wat (volgens my) tesame 'n geso stikeerde modelleringsraamwerk vir strategiese batetoewysing in 'n data-arm omgewing daarste.Ukuhlaziywa kwephothifolio kuyinzuzo ekuqhubukeni kominye imithombo yedatha kanye nezihlaka eziyisibonelo eyethulwe yinqubo yokufunda yomshini. Ngiqoqe olunye uhlobo lwedatha mtase ngifaka uhlaka lusha ( inqubo yokufunda yomshini enobuchwepheshe ) esizindeni sesikweletu sangasese. Loki kuyinto ethokozisayo futhi nesigab sempahla esiyinkimbinkimbi, okunoku shoda kakhulu kwedatha ekuzomodelwa kuyo. Ukulwa naloludaba , ngihlanganise imali enkulu ethuthukiswe nokuthuthukisa imodeli yentengo yempahla. Lokhu kuzohlinzeka umongo olungile lokumodela isigaba sempahla nje ngenxenye yohlaka oluyinkimbinkimbi lokwakhiwa kwephothifoliyo yezimpahla eziningi. Ukuqinisekisa ukuthi kamamodeli engciphe yekhredithi aqondwa ngokugcwele, ngikhethe imodeli elinobuchwepheshe kusuka kuhlu olubanzi uma izinketho endaweni evuthiwe yokumodela izikweletu eyenziwa kakhulu emabhange (ngenkathi eqinisekisa ubuchwepheshe okufanele ukuphatha kwempahla). Loluhlaka lokumodela kwenzelwe ukulandelisa ngokuguquguquka kwemijikelezo yebhizinisi lokhu kuyimiphumela ebalulekile ekushayeleni kwekhredithi engafakwanga nezinye isigaba zempahla ngokufanayo. Ugcwaningo lwemali enkulu olujulile lungivumele ukuklama inqubo engeyona into encane ukuhlanganisa ezinye izimpawu njengenxenye yohlaka lwentengo yempahla lokhu kuzoletha imininingwane yokusebenzisa ukwakhiwa kwephothifoliyo ngedatha elingisiwe. Ijeneretha yami yesimo somnotho ibheka izinguquko ezihambisanayo ukuthola ikilasi lempahla ezindaweni ezahlukahlukene kwezamabhizinisi nje ngenxenye yohlelo lotshalozimali lwesikhathi eside ezifanele iphothifoliyo yezikwama zempesheni ezichaziwe. Amamodeli nephothifoliyo okugcina ahlanganiswe ngokusebenzisa uhlaka lokufunda oluqinisayo. Loluhlaka luhlanganisa imibono yezimali ezinkulu ekubhekene nemijikelezo okushintshashinrsha kwebhizinisi, kanye nequbo yobungozi besikweletu, kumasu nokumodela iphothifoliyo engikholwa engikholwa ihlangisa uhlaka lokumodela oluyindida ngokwabiwa kwempahla yeah endaweni eyingcosana yedathaD. Phil. (Operations Research)Decision Science

Critical analysis fo the performance measurement framework of the Gauteng Provincial legislature

Author: Muzenda Eugenia
Publication venue
Publication date: 2024
Field of study

This study critically analysed ways in which the Gauteng Provincial Legislature (GPL) performance measurement framework is inapt for determining the effectiveness of the GPL. Thus, the purpose of the study was to investigate and improve the GPL performance measurement framework to correctly measure the contribution made by the GPL towards improving the lives of the citizens, which are outcomes. In simple terms, performance measurement involves developing performance indicators and measuring effectiveness or performance using these indicators. The study employed a qualitative methodology. A descriptive exploratory case study design was chosen to address the ‘how’, and ‘what’ questions of the study. Data was gathered by analysing 31 GPL documents and interviewing seven (7) individuals purposefully selected within the GPL, with planning and performance reporting as one of their main Key Performance Areas. The study found that due to the internally focused operational level (inputs, activities, and outputs) performance measurement framework, the GPL has been relatively effective from an internal perspective documented in the Annual reports of the GPL. However, from an external perspective, as expressed by the people of Gauteng who measure performance at strategic or outcomes level, the GPL has been ineffective. The study therefore recommends correctly balancing the operational and strategic focus areas within the GPL. Furthermore, the study proposes enhancements to the current GPL Theory of Change (ToC) and performance indicators to correctly assess the achievement of outcomes. The study makes a seminal contribution by providing solutions to practical public sector problems, offering a clear distinction between operational and strategic objectives, as well as their associated performance indicators. This distinction makes it easier for practitioners to determine the performance indicators to focus on when assessing GPL outcomes. Additionally, the study addresses the gap in literature within the Public Administration field, particularly concerning the ways in which the GPL performance measurement framework is inapt for establishing the effectiveness of the GPL.Ndzavisiso lowu wu xopaxope hi ndlela ya vukhensivusoli tindlela leti rimba ra mpimo wa matirhelo ra Huvo yo Endla Milawu ya Gauteng (GPL) ri nga fanelangiki hakona eka ku kumisisa matirhelo ya kahle ya GPL. Hikokwalaho, rimba ra ndzavisiso lowu a ku ri ku lavisisa na ku antswisa rimba ra mpimo wa matirhelo ra GPL ku pima hi ndlela leyi nga lulama mivuyelo, leyi ku nga vuhoxaxandla lebyi endliweke hi GPL eka ku antswisa vutomi bya vaakatiko. Mpimo wa matirhelo wu khumba ku hluvukisa swikombo swa matirhelo na ku pima matirhelo ya kahle kumbe matirhelo hi ku tirhisa swikombo leswi. Ndzavisiso lowu wu tirhise ntivamaendlelo ya risima. Dizayini ya ndzavisisakheyisi wo valanga wo hlamusela hi ku hlawulekisa yi hlawuriwile ku tirhana na swivutiso swa ‘njhani’ na swa ‘yini’ swa ndzavisiso lowu. Switiviwa swi hlengeletiwile hi ku xopaxopa tidokhumente ta GPL ta 31 na hi ku inthavhiyuwa nkombo wa vanhu hi ndlela leyi nga na xikongomelo lava va hlawuriweke endzeni ka GPL, ku ri na ku vika ka nkunguhato na ka matirhelo tanihi xin'wana xa Swiyengekulu swa vona swa Matirhelo ya Nkoka. Ndzavisiso lowu wu kume leswaku hikwalaho ka rimba ra mpimo wa matirhelo ra levhele ya matirhelo lama kongomisiweke ma le ndzeni (swibumabumelo, migingiriko na swihumesiwa), GPL a yi ri eku tirheni kahle kusuka eka vonelo ra le ndzeni tanihilaha swi dokhumentiweke hakona eka swiviko swa yona swa Lembe na Lembe. Hambiswiritano, kusuka eka vonelo ra le handle, tanihilaha swi paluxiweke hakona hi vanhu va le Gauteng lava va pimaka matirhelo eka levhele ya xiqhinga kumbe ya mivuyelo, GPL a yi nga ri eku tirheni kahle. Hikokwalaho, ndzavisiso lowu wu bumabumela ku ringananisa hi ndlela leyi nga lulama swiyenge swa nkongomo wa matirhelo na wa xiqhinga endzeni ka GPL. Ku yisa emahlweni, ndzavisiso lowu wu ringanyeta miantswiso eka Thiyori ya Ncinco 9ToC) ya GPL ya nkarhi wa sweswi na swikombo swa matirhelo ku kambela hi ndlela leyi nga lulama mfikelelo wa mivuyelo. Ndzavisiso lowu wu endla vuhoxaxandla lebyi nga na nhlohlotelo swinene hi ku nyika switshunxo swa swiphiqo swa sekitara ya mfumo leswi tirhisekaka, wu ri karhi wu nyika ku hambana loku nga erivaleni exikarhi ka swikongomelo swa matirhelo na swa xiqhinga, xikan'we na swikombo swa swona swa matirhelo leswi fambelanaka. Ku hambana loku ku olovisela vatirhi ku kumisisa swikombo swa matirhelo ku kongomisa eka swona loko ku kamberiwa mivuyelo ya GPL. Hi ku engetela, ndzavisiso lowu wu vii tirhana na vangwa leri nga eka matsalwa lama kumekaka endzeni ka ndzima ya mafambiselo ya vaaki, ngopfungopfu lama khumbaka tindlela leti rimba ra mpimo wa matirhelo ya GPL ri nga fanelangiki hakona eka ku tumbuluxa matirhelo ya kahle ya GPL.Nyakišišo ye e sekasekile ka botlalo mekgwa yeo tlhako ya tekanyo ya phethagatšo ya Lekgotlatheramelao la Profense ya Gauteng (GPL) le sego maleba go utolleng bokgoni bja GPL. Ka gona, maikemišetšo a nyakišišo e be e le go nyakišiša le go kaonafatša tlhako ya tekanyo ya phethagatšo gore e lekanye ka nepagalao dipoelo, e lego tema ye e kgathilwego ke GPL mo go kaonafatšeng maphelo a badudi. Tekanyo ya phethagatšo e akaretša go godiša ditaetši tša phethagatšo le go lekanyetša bokgoni goba phethagatšo o šomiša ditaetši. Nyakišišo e šomišitše mokgwa wa boleng. Maikemišetšo a nyakišišo ya go tsenelela ya teko ya tlhalošo e kgethilwe go šogana le dipotšišo tša “bjang” le “eng” tša nyakišišo. Data e kgobokeditšwe ka go sekaseka ditokumente tše 31 tša GPL le go botšiša dipotšišo batho ba šupa bao ba kgethilwego ka go GPL, le peakanyo le phethagatšo ba bega bjalo ka Dikarolo tša Phethagatšo tša Motheo tše dikgolo. Nyakišišo e hweditše gore ka lebaka la legato la tirišo leo le nepišago la ka gare (dikgopolo, mešongwana le ditšweletšo) tlhako ya tekanyo ya phethagatšo, GPL e be e dutše e šoma gabotse go tšwa go kgopolo ya ka gare bjale ka ge e ngwadilwe ka pegong ya yona ya ngwaga le ngwaga. Le ge go le bjalo, go tšwa go kgopolo ya ka ntle, bjalo ka ge e tšweleditšwe ke batho ba Gauteng bao ba lekanyago phethagatšo mo legatong la peakanyo goba dipoelo, GPL e dutše e sa šome gabotse. Nyakišišo ka gona e eletša ka nepagalo go lekanyetša dikarolo tša nepišo tša tirišo le peakanyo ka go GPL. Se sengwe gape, nyakišišo e šišinya dikaonafatšo go Teori ya Phetogo (ToC) ya GPL le ditaetši tša phethagatšo go lekola ka nepagalo diphihlelelo tša dipeolo. Nyakišišo e kgatha tema ye bohlokwa ka go fa ditharollo go mathata a lekala la setšhaba a nnete, e aba phapano ya go kwagala gare ga dinepo tša tirišo le peakanyo, gammogo le ditaetši tša phethagatšo tše di amanago. Phapano ye e dira gore go be bonolo go ditsebi go utolla ditaetši tša phethagatšo go nepiša go tšona ge go lekolwa dipoelo tša GPL. Go tlaleletša, nyakišišo e šogana le bofokodi go sengwalwa ka go karolo ya taolo ya setšhaba, kudu go amana le mekgwa yeo tlhako ya tekanyo ya phethagatšo ya GPL le sego maleba go utolleng bokgoni bja GPL.Ph. D. (Public Administration and Management)Public Administration and Managemen

Exploring consumer attitude and its influence on the intention to purchase genetically modified (GM) food products : towards an integrated research framework to advance food security

Author: Van Zuydam Soné Corné
Publication venue
Publication date: 2024
Field of study

Abstract in English, IsiZulu and IsiXhosaResearch in South Africa (SA) has not yet explored consumers’ attitudes toward genetically modified food products (GMFPs) and attitude’s influence on their purchase intention (PI) by combining the Expectancy Value (EV) Model of Attitudes and the Theory of Planned Behaviour (TPB) framework. It remains unknown what drives consumer attitudes toward these food products and its influence on PI. This study developed an integrated attitudinal framework to advance food security that highlighted the key aspects contributing to attitude development towards GMFPs. A qualitative methodology was used, together with a constructivist paradigm and phenomenological, descriptive and exploratory research design. Purposive, convenience and snowball sampling were used to recruit 32 participants residing in the Midlands in KwaZulu-Natal through a Facebook post. Data analysis revealed that the participants believed GMFPs have an altered state of existence, beneficial traits, with related risks and concerns. These food products were also valued for what consumers gain from them, but made ethical connotations to them. Consumer-related benefits were further expected of GMFPs, suggesting a dual attitude toward GMFPs. The findings suggest that the beliefs component of the EV Model of Attitudes plays the most prominent role in attitude formation in the GMFP context, followed by the values component, with the expectations component being the least influential. The participants lacked GMFP knowledge and did not consult GM-related information sources, leaving consumers’ beliefs about GMFPs factually unfounded, with knowledge influencing the beliefs of GMFPs. It was demonstrated that attitudes and subjective norms do not influence the PI of GMFPs, while perceived behavioural control (PBC) does. This study contributes to the GMFP industry by showing what drives consumers’ attitudes toward GMFPs, its influence on PI, and which components of the EV Model of Attitudes are the most influential in driving attitudes toward GMFPs, thereby highlighting key aspects that can be used to create consumer acceptance towards GMFPs to advance their food security status.Uphando eMzantsi Afrika okwangoku alukayiphicothi indlela abaziva ngayo abathengi malunga neemveliso zokutya eziguqulwe ngokwemveliso yazo (iiGMFP) kunye nendlela abaziva ngayo echaphazela ngayo injongo yabo yokuthenga (PI) ngokusebenzisa indibanisela yesikhokelo se-Expectancy Value (EV) Model of Attitude kunye neTheory of Planned Behavior (TPB). Akwaziwa ukuba yintoni eqhuba indlela abaziva ngayo abathengi malunga nezi mveliso zokutya kunye nempembelelo yayo kwinjongo yabo yokuthenga (PI). Olu phando luqulunqe isikhokelo esihlanganisiweyo sendlela abaziva ngayo abathengi ukuqhubela phambili ukhuseleko lokutya, ukugqamisa iinkalo eziphambili ezinegalelo kuphuhliso lwendlela abaziva ngayo malunga neeGMFP. Kusetyenziswe indlela yophandontyilazwi, isikhokelo sengcingane yokudalwa kolwazi nokuqonda ngokwamava okuphila/ezentlalo kunye noyilo lophando lokuqonda iingcamango ngesiganeko esithile, oluchazayo noluphicothayo. Kusetyenziswe iindlela zovandlakanyo ezifana nokukhetha igcuntswana ledatha ngenjongo (purposive sampling), ukukhetha igcuntswana ledatha ngokufanelekileyo nalula (convenience sampling) kunye nokukhetha igcuntswana ledatha ngokufumaneka nzima (snowball sampling) ukukhangela iqela labathathinxaxheba abangama32 abahlala eMidlands KwaZulu-Natal ngokuxhoma ikhwelo kuFacebook. Uhlalutyo lwedatha lubonise ukuba abathathinxaxheba bakholelwa ukuba iiGMPP zikwimeko eguqulweyo, kukho imingcipheko neenkxalabo ezinxulumene nazo, kwaye ezi mveliso zineempawu eziluncedo. Ezi mveliso zokutya nazo zixatyiselwe oko abathengi abanokukufumana kuzo, kodwa abathengi bangqamanisa iingcamango ezithile zokuziphatha kuzo. Iinzuzo ezinxulumene nabathengi bezilindeleke ngakumbi kwiiGMFP, nto leyo ebonisa indlela entlantlumbini abaziva ngayo malunga neeGMFP. Iziphumo zibonisa ukuba icandelo leenkolelo ze-EV Model of Attitudes lidlala indima ebonakalayo ekubunjweni kwendlela yokucinga okanye abaziva ngayo abathengi ngokubhekiselele kwiGMFP, lilandelwe licandelo lexabiso, lize lona icandelo lokulindela isiphumo esithile libenempembelelo encinci. Abathathinxaxheba bebengenalo ulwazi lweGMFP kwaye abakhange bayijonge imithombo yolwazi enxulumene neGM, nto leyo eshiya iinkolelo zabathengi malunga neeGMFP zibeyinyaniso engenasihlahla, ezinolwazi oluphembelela iinkolelo zeeGMFP. Kubonakaliswe ukuba iindlela zokucinga okanye abaziva ngayo kunye neenkolelo zabathengi aziyiphembeleli iPI yeeGMFP, ngelixa ulawulo lwendlela yokuziphatha olubonwayo (perceived behavioural control (PBC)) luyiphembelela. Olu phando lunegalelo kushishino lweGMFP ngokubonisa ukuba yintoni eqhubela phambili iindlela zokucinga okanye abaziva ngazo abathengi malunga neeGMFP kunye nempembelelo yazo kwiPI, lukwabonisa amacandelo e-EV Model of Attitudes anempembelelo ngakumbi ukuqhubela phambili iindlela abaziva ngazo abathengi malunga neGMFP, ngaloo ndlela lugqamisa iinkalo eziphambili ezinokusetyenziswa ukudala ukwamkelwa kweeGMFP ngabathengi ukuqhubela phambili isimo sabo sokhuseleko lokutya. *The student and supervisor are unable to confirm the correctness of the translated abstractUcwaningo eNingizimu Afrika (SA) alusivezi kahle isimo sokuthi bacabangani abathengi mayelana nemikhiqizo yokudla eyakhiwe ngemifuziselo (GMFPs) kanye nokuthi ukucabanga kwabo kunamuphi umthelela ekuthengweni kwempahla (PI) ngokusebenzisa inhlanganisela ye-Expectancy Value (EV) Model of Attitudes kanye nohlaka lwe-Theory of Planned Behaviour (TPB). Namanje akwaziwa ukuthi yini elawula ukucabanga kwabathengi mayelana nale mikhiqizo ngokunjalo nomthelela wayo ku-PI. Lolu cwaningo luqhamuke nohlaka oludidiyelwe mayelana nokucabanga kwabathengi ukuze kuphuculwe indlela yokuvikeleka kokudla okugqamisa iminxa ethile emqoka enomthelela endleleni yokucabanga ngokwe-GMFP. Lapha kuye kwasetshenziswa indlela yokuhlola isimo, uhlelo lokuhlola ukucabanga komuntu ngayedwa nalokho okumangazayo, uhlelo lokuchaza nokuhlola isehlo. Kuye kwasetshenziswa ingosi ka-Facebook kwaqhanyukwa nohlelo lokunxenxa abantu ukuba nabo banxenxe abanye kwase kutholakala ababambiqhaza abangama-32 abahlala Maphakathi neKwaZulu-Natali. Imininingwane yocwaningo iveza ukuthi ababambiqhaza bakholelwa ekutheni ama-GMFP awukushintsha kwesimo sokuphila, anobungozi futhi kunezikhalo ngawo, ngokunjalo nokuthi lolu hlobo lwemikhiqizo lunokhondolo oluthile. Le mikhiqizo yokudla iphinde yakalwa nangokuthi abathengi bangazuzani kuyo, kodwa kunezinto abathengi abaziphawulayo ngendlela abacabanga ngayo ngale mikhiqizo. Bekulindeleke ukuba kuvele ukuthi yini ezohlonyulwa abathengi mayelana ne-GMFP, ngokubheka ukucabanga ngezindlela ezimbili mayelana ne-GMFP. Imiphumela iveza ukuthi ingxenye yezinkolelo ze-EV Model of Attitudes idlala indima enkulu kakhulu endleleni yokucabanga ngokuphathelene ne-GMFP, kulandelwa ingxenye yezinga lomkhiqizo, neveza ukuthi kuncane kakhulu okuphawulekayo nokungumthelela ngalokhu. Ababambiqhaza bebengenalo ulwazi lwe-GMFP futhi abalwenzanga uphenyo ngokubheka imithombo enolwazi oluhlobene ne-GM, lokhu-ke kudale ukuthi kungatholakali kahle ukuthi abathengi bakholelwa kukuphi mayelana nama-GMFP, ngenxa yemininingwane engaqondakali ngokokucabanga nge- GMFP. Kuye kwavela ukuthi indlela yokucabanga nezinkambiso ezizimele akunamthelela ku- PI yama-GMFP, ekubeni kuyaye kube nomthelela othile ngokulawulwa kokuziphatha (PBC). Lolu cwaningo lunomthelela emkhakheni ye-GMFP ngokuthi lubonisa ukuthi yini elawula indlela yokucabanga kwabathengi mayelana nama-GMFP nomthelela ku-PI, luphinde futhi lubonise izingxenye ze-EV Model of Attitudes ezinomthelela omkhulu ekulawuleni ukucabanga nge-GMFP, ngokuthi kugqanyiswe iminxa emqoka engasetshenziswa ukuze abathengi bamukele imikhiqizo ye-GMFP ekuphuculeni isimo sokuvikeleka kokudla. *The student and supervisor are unable to confirm the correctness of the translated abstract.D. Phil. (Consumer Science)Life and Consumer Science

A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method

Author: Emmanuel Ileberi
Sun Yanxia
Wang Zenghui
Publication venue
Publication date: 2024
Field of study

Abstract Credit risk prediction is a crucial task for financial institutions. The technological advancements in machine learning, coupled with the availability of data and computing power, has given rise to more credit risk prediction models in financial institutions. In this paper, we propose a stacked classifier approach coupled with a filter-based feature selection (FS) technique to achieve efficient credit risk prediction using multiple datasets. The proposed stacked model includes the following base estimators: Random Forest (RF), Gradient Boosting (GB), and Extreme Gradient Boosting (XGB). Furthermore, the estimators in the Stacked architecture were linked sequentially to extract the best performance. The filter- based FS method that is used in this research is based on information gain (IG) theory. The proposed algorithm was evaluated using the accuracy, the F1-Score and the Area Under the Curve (AUC). Furthermore, the Stacked algorithm was compared to the following methods: Artificial Neural Network (ANN), Decision Tree (DT), and k-Nearest Neighbour (KNN). The experimental results show that stacked model obtained AUCs of 0.934, 0.944 and 0.870 on the Australian, German and Taiwan datasets, respectively. These results, in conjunction with the accuracy and F1-score metrics, demonstrated that the proposed stacked classifier outperforms the individual estimators and other existing methods

The effect of diabetic peripheral neuropathy on quality of life among persons attending podiatry clinics in Ekurhuleni

Author: Mafhege Avhashoni Granny
Publication venue
Publication date: 2024
Field of study

Text in EnglishDiabetic peripheral neuropathy is associated with the damage or impairment of peripheral nerve fibres in people with diabetes mellitus. The purpose of this study was to assess the effects of diabetic peripheral neuropathy on the quality of life of persons diagnosed with diabetic peripheral neuropathy attending podiatry clinics in Ekurhuleni District. A quantitative, non-experimental, cross-sectional, correlational design was used. Data was collected telephonically using structured interviews with 84 respondents attending three public podiatry clinics. The study determined the diabetic peripheral neuropathy symptoms that mostly affected the quality of life. The results revealed that the physical domain of quality of life was predicted by the large fibre symptoms (β = -1.291; p = 0.001; N = 84) and the autonomic symptoms (β = -.733; p = 0.032; N = 84), whereas the psychological domain was predicted by the large fibre symptoms (β = -1.62; p = 0.000; N = 84). The social domain of quality of life was predicted byM. Hs. (Public health)Health Studie

Measurement of t-channel production of single top quarks and antiquarks in pp collisions at 13 TeV using the full ATLAS Run 2 data sample

Author: Aad G.
Abbott B.
Abeling K.
Abicht N. J.
Abidi S. H.
Aboulhorma A.
Abramowicz H.
Abreu H.
Abulaiti Y.
Abusleme Hoffman A. C.
Acharya B. S.
Adam Bourdarios C.
Adamczyk L.
Adamek L.
Addepalli S. V.
Addison M. J.
Adelman J.
Adiguzel A.
Adye T.
Affolder A. A.
Afik Y.
Agaras M. N.
Agarwala J.
Aggarwal A.
Agheorghiesei C.
Ahmad A.
Ahmadov F.
Ahmed W. S.
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Ai X.
Aielli G.
Aikot A.
Ait Tamlihat M.
Aitbenchikh B.
Aizenberg I.
Akbiyik M.
Åkesson T. P. A.
Akimov A. V.
Akiyama D.
Akolkar N. N.
Al Khoury K.
Alberghi G. L.
Albert J.
Albicocco P.
Albouy G. L.
Alderweireldt S.
Aleksa M.
Aleksandrov I. N.
Alexa C.
Alexopoulos T.
Alfonsi F.
Algren M.
Alhroob M.
Ali B.
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Ali S.
Alibocus S. W.
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Publication venue
Publication date: 2024
Field of study

Abstract The production of single top quarks and top antiquarks via the t-channel exchange of a virtual W boson is measured in proton-proton collisions at a centre-of-mass energy of 13 TeV at the LHC using 140 fb−1 of ATLAS data. The total cross-sections are determined to be σ tq = 137 − 8 + 8

\sigma (tq)={137}_{-8}^{+8}

pb and σ t ¯ q = 84 − 5 + 6

\sigma \left(\overline{t}q\right)={84}_{-5}^{+6}

pb for top-quark and top-antiquark production, respectively. The combined cross-section is found to be σ tq + t ¯ q = 221 − 13 + 13

\sigma \left( tq+\overline{t}q\right)={221}_{-13}^{+13}

pb and the cross-section ratio is R t = σ tq / σ t ¯ q = 1.636 − 0.034 + 0.036

{R}_t=\sigma (tq)/\sigma \left(\overline{t}q\right)={1.636}_{-0.034}^{+0.036}

. The predictions at next-to-next-to-leading-order in quantum chromodynamics are in good agreement with these measurements. The predicted value of Rt using different sets of parton distribution functions is compared with the measured value, demonstrating the potential to further constrain the functions when using this result in global fits. The measured cross-sections are interpreted in an effective field theory approach, setting limits at the 95% confidence level on the strength of a four-quark operator and an operator coupling the third quark generation to the Higgs boson doublet: − 0.37 < C Qq 3 , 1 / Λ 2 < 0.06

-0.37<{C}_{Qq}^{3,1}/{\Lambda}^2<0.06

and − 0.87 < C ϕQ 3 / Λ 2 < 1.42

-0.87<{C}_{\phi Q}^3/{\Lambda}^2<1.42

. The constraint |Vtb| > 0.95 at the 95% confidence level is derived from the measured value of σ tq + t ¯ q

\sigma \left( tq+\overline{t}q\right)

, assuming that the Wtb interaction is a left-handed weak coupling and that |Vtb| ≫ |Vtd|, |Vts|. In a more general approach, pairs of CKM matrix elements involving top quarks are simultaneously constrained, leading to confidence contours in the corresponding two-dimensional parameter spaces

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