1,176 research outputs found

    Menges - Franklin Menges

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    B.S.; Ph.D., 1888; Sc.D., 1927; entered junior class; Alpha Tau Omega. Born Oct. 26, 1859. Menges Mills. Instructor, Gettysburg College, 1886-96; head of science dept., York H.S., 1897-1903; farmer's institute lecturer for Pa. Dept. of Agriculture, 1903-20; installed and had charge of the Pa. agriculture exhibit at the Louisiana Purchase Exhibition, St. Louis, Mo., 1904; made a large series of analyses of the poisons used for the destruction of insects of the soils; U.S. Congressman, 1925-31; in business, York, 1931- . Author of a two vol. work on a soil survey of Pa. Married Oct. 26, 1897, Mary McIlhenny, Gettysburg. Children: Mary S., b. Dec. 22, 1898; Janet E., b. March 7, 1901; Frances L., b. July 31, 1906; Jessie May, b. July 15, 1910, d. Nov. 3, 1914. Address: R.D. #1, York. Handwritten on back: ""Your friend & classmate, Franklin Menges, Menges Mills, York Co., Pa., June 21st. 1886"

    ABxM.DistributedRobotics.RP19: Agent-Based Models for a Modular Collective Robotic Construction System

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    ABxM.DistributedRobotics.RP19 is an add-on to ABxM.Core for agent-based modelling of a collective robotic construction (CRC) system developed in the context of Research Project 19-1 (RP19-1) "Leveraging The Building Material As Part Of The Robotic Kinematic System For Parallel Construction" from the Cluster of Excellence Integrative Computational Design and Construction for Architecture (IntCDC). The add-on contains three agent constructs which revolve around the agent representing the building material or the mobile robots in the modelled CRC system. The agent constructs of BuildingMaterialAgent or MobileRobotAgent are utlized for the sole purpose of architectural design while the agent construct of KCAgent can be used to also robotically plan the structure. The first two constructs are discussed in the paper: Leder, S., Menges, A. (2023). Introducing Agent-Based Modeling Methods for Designing Architectural Structures with Multiple Mobile Robotic Systems. In: Gengnagel, C., Baverel, O., Betti, G., Popescu, M., Thomsen, M.R., Wurm, J. (eds) Towards Radical Regeneration. DMS 2022. Springer, Cham. (DOI: 10.1007/978-3-031-13249-0_7). And the other construct is discussed in the paper: Leder, S., Menges, A.: 2024, Merging architectural design and robotic planning using interactive agent-based modelling for collective robotic construction. Journal of Computational Design and Engineering, Vol. 11, pp. 253-268. (DOI: 10.1093/jcde/qwae028). The package includes examples files to be to be used within Rhino/Grasshopper that demonstrate implementations of each agent type

    The role of therapeutic alliance in individual and couple cognitive-behavioral therapy for women with alchol [sic] dependence

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    The construct of therapeutic alliance has yet to be investigated among women participating in treatment for alcohol dependence. The current study examined predictors of the formation of alliance and its relationship with treatment outcome within individual and couples cognitive-behavioral therapy. It also developed a new, observer-rated measure of alliance and tested the psychometric properties of this instrument (Treatment Integrity Rating Scale Alliance-Related Items [TIRS-ARI]). Participants were 158 women with an alcohol use disorder (98% alcohol dependence) treated in a 12-session randomized clinical trial either with or without their male partner. Participants were not randomized to study arm (i.e., Individual/Couples), therefore all analyses were conducted separately for the Full, Individual Arm, and Couples Arm Samples. Data were collected at baseline and 3-, 9-, and 15-months post-baseline (003, 009, 015), and relevant variables included: motivation (SOCRATES [SOC], choice of abstinence goal), alliance (Working Alliance Inventory [WAI], TIRS-ARI), alcohol consumption (percent days abstinent [PDA]), and relationship functioning (Dyadic Adjustment Scale [DAS]). Results indicated that the new measure of alliance created for the current study (TIRS-ARI) exhibited adequate psychometric properties and was appropriate for use in conjunction with the WAI. Predictor analyses indicated that greater motivation was associated the formation of stronger alliances in individual, but not couples, therapy; women who chose an abstinence goal (an index of motivation) formed stronger alliances as measured by the WAI and TIRS-ARI in the Full Sample and by the WAI in the Individual Sample than those who chose a non-abstinence goal. In multiple regression predictor analyses, motivation (SOC Problem Recognition subscale) was found to be significantly associated with WAI among participants in the Individual Arm Sample. Additional treatment modalities differences indicated that women in the Individual Arm of the clinical trial formed significantly stronger alliances as measured by the WAI than women in the Couples Arm. Treatment outcome analyses found that alliance was predictive of both alcohol consumption and relationship functioning during follow up when controlling for baseline values of outcome variables. Higher scores on the WAI were associated with greater PDA at 009 in the Full and Individual Arm Samples and at 015 in the Individual Arm Sample. Among Couples Arm participants, higher scores on the WAI and TIRS-ARI were associated with greater relationship functioning (DAS) at 009 and 015, respectively. Overall, patterns of alliance formation and predictive utility differed between the Individual and Couples Arms, and the current study concludes with a discussion of the clinical implications of these identified patterns.Ph.D.Includes bibliographical referencesIncludes vitaby David Menge

    Subscale validation of the drinking patterns questionnaire

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    The current study evaluated the psychometric properties of the Drinking Patterns Questionnaire (DPQ; Zitter & McCrady, 1979), a self-report instrument designed to identify high-risk drinking situations. The DPQ consists of 189 items representing possible drinking antecedents from eight distinct categories: Work-Related, Financial, Physiological, Interpersonal, Marital, Parents, Children, and Emotional. While prior research has supported the construct validity of the Physiological, Interpersonal, Marital, and Emotional subscales (Zweig, 2005), no validation studies have been conducted on the remaining subscales. The primary aim of the current study was to evaluate the construct validity of the Work-Related, Financial, Parents, and Children subscales of the DPQ. This evaluation was conducted via analyses of convergence between DPQ subscales scores and scores on correlate measures of the same or similar construct. A secondary aim was to evaluate the internal consistency of all eight DPQ subscales. Participants were 134 adult residents of an inpatient substance abuse treatment center who scored [greater than or equal to] 9 on the Alcohol Dependence Scale (a marker highly predictive of DSM-IV diagnosis of alcohol dependence; Chantarujikapong, Smith, & Fox, 1997). The mean age of participants was 40.0 (SD = 11.4), 48.5% were female, 94.8% were Caucasian, and 59.7% were employed. Five group administrations were conducted with approximately 30 residents participating on each occasion. Upon providing informed consent, participants completed a demographics questionnaire, the DPQ, and the four correlate measures corresponding to each DPQ subscale under evaluation. Results indicated that DPQ subscales evidenced adequate to strong internal consistency (i.e., coefficient alphas ranging from .691 to .921). Pearson's r correlations were then used to evaluate subscale convergent validity and significant correlations were found between scores on the Work-Related (n = 89, r = -.213, p [less than] .05), Financial (n = 130, r = .423, p [less than] .001), and Children (n = 62, r = -.510, p [less than] .001) subscales and scores on their respective correlate measures. Findings for the validity of the Parents subscale were mixed. Overall, study results provide strong evidence of construct validity for the Financial and Children subscales and modest evidence for the Work-Related subscale, and indicate that all DPQ subscales exhibit solid internal consistency.Ph.D.Includes bibliographical references (p. 38-41)

    sj-docx-1-orm-10.1177_10944281241246770 - Supplemental material for Simulating Virtual Organizations for Research: A Comparative Empirical Evaluation of Text-Based, Video, and Virtual Reality Video Vignettes

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    Supplemental material, sj-docx-1-orm-10.1177_10944281241246770 for Simulating Virtual Organizations for Research: A Comparative Empirical Evaluation of Text-Based, Video, and Virtual Reality Video Vignettes by Anand P. A. van Zelderen, Theodore C. Masters-Waage, Nicky Dries, Jochen I. Menges and Diana R. Sanchez in Organizational Research Methods</p

    Wages and Salaries after the two World Wars, 1925 to 1950

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    Ziel der Untersuchung ist, über die seit der Vorkriegszeit eingetretenen Veränderungen der Lohn- und Gehaltssituation zu informieren. Unter „Vorkriegszeit“ werden die Jahre der Weimarer Republik (im engeren Sinne die Jahre von 1924 bis 1929), unter „Nachkriegszeit“ die Jahre seit 1959 verstanden (bis 1954). Das Hauptgewicht des Vergleichs liegt auf der Situation der Bundesrepublik, deren Verhältnisse mit denen der Vorkriegszeit verglichen werden. Für beide Perioden wird für sämtliche zu vergleichenden Jahre eine gemeinsame Indexbasis zugrunde gelegt. Diese gemeinsame Basis stellt das Jahr 1928 dar. „Gerade wegen der ‚Vergleichspriorität‘, die der Gegenwart zugemessen wird, war ein Jahr aus der Weimarer Zeit als Basisjahr heranzuziehen. Die Wahl fiel auf das Jahr 1928, weil für Einkommensbetrachtungen, die einen ‚isolierten‘ Vergleich intendieren, Jahre konjunktureller Höhepunkte am geeignetsten sind. Zwar hatte die Konjunkturentwicklung der Weimarer Zeit erst im Verlaufe des Jahres 1929 ihren Höhepunkt erreicht; da sich aber im Jahre 1929 der Einfluss der Beginnenden Krise bereits stark bemerkbar machte, ist das Jahr 1928 als das Jahr mit der gleichsam ‚reinsten‘ Hochkonjunktur der Vorkriegszeit anzusehen und wurde deshalb als Basisjahr genommen. In der Untersuchung“ (Menges/Kolbeck, a. a. O., S. XII). In der Untersuchung werden zwei Typen des Periodenvergleichs unterschieden. (1) „Eliminierter Vergleich“: Vergleich, dem ausschließlich das Gebiet der Bundesrepublik Deutschland (Gebietsstand von 1950) zugrunde liegt; (2) „Uneliminierter Vergleich“: Vergleich, dem für die Jahre bis 1945 das Reichsgebiet (Gebietsstand von 1925) und für die Jahre ab 1945 das Gebiet der Bundesrepublik Deutschland (Stand 1950) zugrunde liegt. Der weitaus größte Teil der präsentierten Daten stellen Schätzungen dar, die „in jedem Falle fundiert sind, aber doch häufig nur als grob gelten können“ (Menges/Kolbeck, a. a. O., S. VII). Datentabellen in HISTAT: Die ‚Datentabellen können grob den folgenden inhaltlichen Schwerpunkten zugeordnet werden: A. Strukturdaten (Erwerbspersonen, Altersgliederung der Arbeitnehmer) B. Die Kaufkraft des Geldes C. Löhne und Gehälter in ihrer Gesamtheit im Vergleich zum Volkseinkommen D. Die Löhne und Gehälter im Einzelnen: Arbeiter E. Die Löhne und Gehälter im Einzelnen: Angestellte F. Die Löhne und Gehälter im Einzelnen: Zusammenfassung G. Ergänzende Beurteilung: Haushaltseinkommen, Arbeitszeit, Sozialversicherung, Arbeitslosigkei
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