bluuebunny/crossref_metadata_2025_split huggingface dataset:
Growth performance, mortality, and carcass yield evaluation of pure and reciprocal crosses between Sasso and Wassache chickens
Authors: Dzungwe Joshua T. , Tozo Koffi , Chrysostome Christrophe 
Published: September 2022

Abstract
The indigenous chicken production has become an integral part of smallholder farming systems in Africa. Their products are preferred due to their taste and flavor; crossbreeding using exotic breeds can improve the productivity of these chickens without sacrificing their genetic merits. This study was aimed at improving the Wassache chicken. F1 generations of the crosses between the Wassache and Sasso chickens were simultaneously evaluated for growth traits, mortality, and carcass yield in a pure and reciprocal cross design. Data on body weight, performance, and mortality were collected on 451 birds (Sasso × Sasso [SS] = 110; Wassache × Wassache [WW] = 113; Sasso × Wassache [SW] = 113 and Wassache × Sasso [WS] = 115) for 12 weeks. On the 12th week of the study, 20 birds from each genotype were dissected to determine carcass yield. All data collected were analyzed using Minitab 19. The results showed significantly higher (P < 0.05) values reported for the SS genotype in all parameters studied. Likewise, the reciprocal crosses showed higher performance in growth and carcass traits next to pure Sasso. However, the feed conversion ratio and dressing percentage of the hybrids did not differ (P < 0.05) from those of the SS and WW genotypes. Within the reciprocal crosses, there was no significant difference (P > 0.05) in all parameters measured except for hatch weight where the WS showed a higher (P < 0.05) hatch weight compared to the SW cross. The study encourages the crossbreeding of the Wassache and Sasso chickens for improved meat production in this region.
Numerical investigation of the influence of process parameters and tool path on the temperature in the laser glass deposition (LGD) process
Authors: Denkena B. , Dittrich M.-A. , Malek T. , Sleiman K. , Rettschlag K. , Jäschke P. , Kaierle S. 
Published: September 2022

AbstractAdditive manufacturing has gained interest in the industry due to its flexibility in design and the possibility to integrate functionalities. Thereby, glass has a high potential to be developed also in this field due to its thermal stability, chemical resistance, and optical transmission. Laser glass deposition is a method for fabricating glass components on a glass substrate. The energy input and the resulting temperature are crucial factors in this process, which can influence the material properties and the resulting geometry. Also, depending on the temperature in the substrate, difficulties such as high residual stresses or thermal shock can occur. The temperature on the glass substrate and in the melt zone can be changed either directly by the laser power or laser spot size, or indirectly by other process variables such as travel speed or path planning strategy. In this study, the energy input and the resulting temperature in the melt zone are numerically investigated under selected process parameters. Based on this, a regression function was created so that the generated temperature can be calculated by corresponding laser power, laser spot diameter, and axis velocity. Moreover, different tool path strategies for the production of horizontally multilayered surfaces were thermally investigated. The results showed a more uniform temperature profile with zigzag movement than the spiral tool path. The influence of the turning point angle in path planning on the temperature change was also investigated. It was observed that the 90° corner in contrast to the smaller angle has no significant influence on the temperature change.
Managing from a distance in international purchasing and supply
Authors: O’Connor Neale G. , Du Yan , Yang Zhilin , Akbari Mohammadreza 
Published: September 2022

AbstractInternational purchasing and supply management (PSM) teams have long faced the visibility and understandability challenges of managing geographically dispersed and culturally distant suppliers. Problems arising from inadequate monitoring and control over suppliers can be attributed to geographical and cultural distance, capability gaps, weak institutions, and supply market dynamism. With transaction costs theory as our lens, we examine how international geographically and culturally distant purchasing and supply management (PSM) teams control emerging economy suppliers with formal management controls. We use interview survey data on 339 international customer-Chinese supplier relationships using supplier perceptions of the extent to which performance measurement and monitoring practices are used by their primary customer in the purchase reorder decision and control. The results demonstrate that the cultural and, to a lesser extent, geographical distance between the customer and the supplier is associated with more extensive use of formal management controls. Also, we find the relationship between geographical or cultural distance and the importance of performance measurement is strengthened for suppliers of complex components.
Does personality still matter in e-commerce? How perceived hubris influences the assessment of founders’ trustworthiness using the example of reward-based crowdfunding
Authors: Sundermeier Janina , Kummer Tyge-F. 
Published: September 2022

AbstractReward-based crowdfunding broadens the scope of e-commerce transactions, as prototypical products are pre-sold under conditions of considerable uncertainty. To date, we know little about the mechanisms that underlie decisions to back reward-based crowdfunding campaigns. However, it is likely that startup founders’ possibility of showcasing their personalities in video pitches signals their trustworthiness, particularly, as other features, such as quality seals and customer testimonials, are often unavailable. We use signaling theory to reinforce the move from a feature-oriented perspective to a signaling perspective, as signals can transmit information about startup founders’ otherwise imperceptible qualities and abilities. Based on a survey (N = 108), we investigate how perceived hubris – proven to be particularly salient in startup contexts – influences the funding decision of potential backers. We find that abilities and legitimacy of a startup founder are rated positively when s/he is perceived as hubristic. These results have implications for crowdfunding campaigns and highlight the relevance of personality traits in electronic markets.
Abyssal fauna of polymetallic nodule exploration areas, eastern Clarion-Clipperton Zone, central Pacific Ocean: Annelida: Spionidae and Poecilochaetidae
Authors: Neal Lenka , Wiklund Helena , Rabone Muriel , Dahlgren Thomas G. , Glover Adrian G. 
Published: September 2022

AbstractThis paper represents a continuation of taxonomic publications on the benthic fauna of polymetallic nodule fields in the eastern Clarion-Clipperton Zone (CCZ) using material collected during baseline environmental survey work targeting two exploration contract areas (“UK-1” and “OMS”) and one Area of Particular Environmental Interest, “APEI-6.” Families Poecilochaetidae Hannerz, 1956 and Spionidae Grube, 1850 of the annelid suborder Spioniformia were studied here. Taxonomic data are presented for 25 species from 98 records as identified by a combination of morphological and genetic approaches. Although sub-optimal morphological condition can prevent new species being formally described, it is essential that morphological, molecular, and voucher data are made available for future surveys. Descriptions of two new species—Poecilochaetus brenkei sp. nov. and Laonice shulseae sp. nov.—increase the number of formally described new annelid species from the areas targeted in this study to 15 and CCZ-wide to 46. We also discuss the commonly reported “cosmopolitan” deep-sea spionid Aurospio dibranchiata Maciolek, 1981, which we show represents several genetically distinct species (three of these from CCZ area alone) but without reliable morphological characters to separate them. Molecular data provide evidence that 15 out of 25 species reported here have a wide distribution within the eastern CCZ and that Aurospio sp. “NHM_2186” and the known species Prionospio amarsupiata Neal & Altamira in Paterson et al. 2016 may be cosmopolitan. Lastly, the molecular data provide insights into relationships within Spioniformia, suggesting that both Poecilochaetidae and Trochochaetidae belong within Spionidae.
Factors influencing intention to apply spatial approaches to on-farm experimentation: insights from the Australian winegrape sector
Authors: Song Xinxin , Evans Katherine J. , Bramley Robert G. V. , Kumar Saideepa 
Published: September 2022

AbstractGrape growers are often constrained by available time and labor to conduct trials that deliver informative results. Spatially distributed trial designs coupled with data collection using sensing technologies can introduce efficiencies and also account for the impact of land variability on trial results. Various spatial approaches have been proposed, yet how farmers perceive them is largely unknown. We collaborated with four wine businesses in Australia to explore how grape growers and viticultural consultants perceive a simplified spatial approach to experimentation involving one or more vineyard rows or “strips.” In each case, the simplified strip approach was applied alongside growers’ or consultants’ own methods to compare the perceived value of different methods. The Theory of Planned Behavior was used as an analytical framework to identify factors influencing participants’ intentions towards adopting the strip approach. Our findings show that growers and consultants perceived several advantages of the strip approach over their own methods. Key factors impeding uptake were resource constraints for collecting trial data and lack of skills and knowledge to use and analyze spatial data to position the trial and interpret results. These constraints highlight the need to support growers and consultants who see value in this approach by developing automated and affordable measurements for viticultural variables beyond yield, and by providing training on how to analyze and interpret spatial and response data. This study provides novel insights for private and public sectors on where to focus efforts to facilitate adoption of spatial approaches to On-Farm Experimentation by specific target audiences.
A constrained multi-objective optimization algorithm using an efficient global diversity strategy
Authors: Long Wenyi , Dong Huachao , Wang Peng , Huang Yan , Li Jinglu , Yang Xubo , Fu Chongbo 
Published: September 2022

AbstractWhen solving constrained multi-objective optimization problems (CMOPs), multiple conflicting objectives and multiple constraints need to be considered simultaneously, which are challenging to handle. Although some recent constrained multi-objective evolutionary algorithms (CMOEAs) have been developed to solve CMOPs and have worked well on most CMOPs. However, for CMOPs with small feasible regions and complex constraints, the performance of most algorithms needs to be further improved, especially when the feasible region is composed of multiple disjoint parts or the search space is narrow. To address this issue, an efficient global diversity CMOEA (EGDCMO) is proposed in this paper to solve CMOPs, where a certain number of infeasible solutions with well-distributed feature are maintained in the evolutionary process. To this end, a set of weight vectors are used to specify several subregions in the objective space, and infeasible solutions are selected from each subregion. Furthermore, a new fitness function is used in this proposed algorithm to evaluate infeasible solutions, which can balance the importance of constraints and objectives. In addition, the infeasible solutions are ranked higher than the feasible solutions to focus on the search in the undeveloped areas for better diversity. After the comparison tests on three benchmark cases and an actual engineering application, EGDCMO has more impressive performance compared with other constrained evolutionary multi-objective algorithms.
Quantile Regression of Childhood Growth Trajectories: Obesity Disparities and Evaluation of Public Policy Interventions at the Local Level
Authors: Konty Kevin , Sweeney Stuart , Day Sophia 
Published: September 2022

AbstractQuantile regression applied to child growth trajectories has been proposed in the methodological literature but has only seen limited applications even though it is a promising framework for the evaluation of school-based policy interventions designed to address childhood obesity. Data that could be used to support such assessments, school-based collection of height and weight, has become increasingly common. Three states currently mandate annual collection and several other jurisdictions including California and New York City (NYC) collect BMI as part of physical fitness assessments. This has resulted in the establishment of extremely large databases that share important characteristics including the ability to define longitudinal growth curves by student with high coverage rates. In NYC public schools, starting in 2006, student records have been linked to registry, academic, and attendance data and across years resulting in a longitudinal dataset containing 9 cohorts with 2 million unique children. A high level of demographic and geographic detail allow for analysis of public policy at the local scale. We demonstrate the utility of quantile regression longitudinal growth curve models applied to BMI trajectories as a means of assessing policy interventions. Models consisting solely of age terms yield empirical curves similar to CDC growth charts; covariates modify these curves. Incorporating lag terms yields a distribution of possible growth trajectories and the effect of interventions can be explicitly quantified. We evaluate area-based and individual poverty measures, known strong correlates of child obesity, as a baseline assessment of the modeling framework. We then evaluate the impact of a real intervention (water jet installations). Our results indicate that students with access to water jets have a statistically significant leftward shift in the right tail of the BMI distribution relative to students without access to water jets. The absolute magnitude of the shift is comparable to the difference in BMI associated with student residential exposure to low versus extreme poverty.
Intent-Aware Data Visualization Recommendation
Authors: Maruta Atsuki , Kato Makoto P. 
Published: September 2022

AbstractThis paper proposes a visualization recommender system for tabular data given visualization intents (e.g., “population trends in Italy” and “smartphone market share”). The proposed method predicts the most suitable visualization type (e.g., line, pie, or bar chart) and visualized columns (columns used for visualization) based on statistical features extracted from the tabular data as well as semantic features derived from the visualization intent. To predict the appropriate visualization type, we propose a bi-directional attention (BiDA) model that identifies important table columns using the visualization intent and important parts of the intent using the table headers. To determine the visualized columns, we employ a pre-trained neural language model to encode both visualization intents and table columns and predict which columns are the most likely to be used for visualization. Since there was no available dataset for this task, we created a new dataset consisting of over 100 K tables and their appropriate visualization. Experiments revealed that our proposed methods accurately predicted suitable visualization types and visualized columns.
School Choice Algorithms: Data Infrastructures, Automation, and Inequality
Authors: Swist Teresa , Gulson Kalervo N. 
Published: September 2022

AbstractAutomated decision-making is a process in which an algorithm collects and analyses data, derives information, applies this information, and recommends an action, at times using forms of Artificial Intelligence (Richardson 2021). This paper proposes that we need to locate automated decision-making as part of the history of educational policy and governance, as well as increasingly networked cultural records or digital archives. As such, we explore the history and present of automated decision systems across a range of cultural records spanning several categories: data, algorithm, and AI-based technologies; innovation and industry; philanthropy and funding; policy and legislation; spatiality and socioeconomics; plus, activism, and communities. To do so, we created an interdisciplinary archival heuristic as a research tool to retrace these interrelated cultural records shaping data infrastructure and inequalities. We then tested this tool in the context of the school admission matching algorithm in New York City. Our central aim is to help counter discourses about the newness and efficiencies of introducing automation and algorithms across education reform initiatives. The education counter-archiving heuristic introduced therefore offers a novel research tool to explore the intersecting history, present, and future of automated decision-making systems, such as school choice algorithms.
Model-Driven Engineering of Process-Aware Information Systems
Authors: Drave Imke , Michael Judith , Müller Erik , Rumpe Bernhard , Varga Simon 
Published: September 2022

AbstractEnterprise information systems created with model-driven software engineering methods need to handle not only data but also business processes in an automated way. This paper shows how to engineer process-aware information systems following the model-driven and generative software engineering paradigms. Existing approaches realize either the generation of automated or manual activities but do not employ model-driven engineering of all system aspects through systematic language composition. A generative approach that additionally uses process modeling languages allows developers to evolve generated data-centric information systems into process-aware information systems. To be usable within our generation process, we have developed a textual BPMN version and a corresponding language tooling to check the soundness of the models. We have included these process models into the generation process of an information system together with other domain-specific modeling languages, e.g., for data structures, and generate an extendable, process-aware information system that is open for continuous regeneration and hand-written additions. This approach allows us to lift a generated data-centric information system to a process-aware information system. Agile development enabled through the opportunity to validate assumptions automatically and adapt changes efficiently, enhances the engineering process as well as the generated systems themselves.
Penile fracture without typical manifestation: A case report
Authors: Agil Ahmad , Tjahjodjati  , Atik Nur , Rachmadi Dedi , Rizki Dhika 
Published: September 2022

Abstract

Introduction and importance
Penile fracture is the disruption of the tunica albuginea with rupture of the corpus cavernosum. Fracture typically occurs during vigorous sexual intercourse.

Case presentation
A 30 years old man presented to the emergency department with a chief complaint of sudden pain on the penile shaft and blood on his meatus with history of vigorous sexual intercourse 5 hours before admission, and the penis was slipped out during intercourse and injured.

Clinical discussion
In this case, we performed surgical exploration of the penis and repair of urethra and corpus cavernosum. Surgical exploration of the penis was deemed necessary to prevent complication.

Conclusion
For a special case of penile trauma without typical manifestation, we cannot exclude the diagnosis of penile fracture directly based on the absence of signs from physical examination. Cavernosography and urethrography should be considered when clinical sign are insufficient for diagnosis.
Everything Old Is New Again: The Persistence of Republican Opposition to Multilateralism in American Foreign Policy
Authors: Fordham Benjamin O. , Flynn Michael 
Published: September 2022

AbstractThe last two Republican presidents’ hostility to multilateralism has produced striking departures from postwar American foreign policy, but this position is not as new as it sometimes appears. It has deep historical roots in the conservative wing of the Republican Party. Using data on congressional voting and bill sponsorship, we show that Republicans, especially those from the party's conservative wing, have tended to oppose multilateral rules for more than a century. This position fit logically into the broader foreign policy that Republican presidents developed before World War I but posed problems in light of the changing conditions during the mid-twentieth century. The importance of multilateral cooperation for U.S. national security during the Cold War and the growing international competitiveness of American manufacturing split the party on multilateral rules, but it did not reverse the conservative wing's longstanding skepticism of them. Congressional leaders’ efforts to keep consequential choices about multilateral rules off the legislative agenda for most of the postwar era contributed to the persistence of this position. This move spared conservative members of Congress from confronting the costs of opposing multilateral institutions, giving them little incentive to challenge ideological orthodoxy.
Longitudinal effects and environmental moderation of ALDH2 and ADH1B gene variants on substance use from age 14 to 40
Authors: Saunders Gretchen R.B. , McGue Matt , Iacono William G. , Vrieze Scott 
Published: September 2022

AbstractAlcohol use and dependence are strongly affected by variation in aldehyde dehydrogenase (ALDH2) and, to a lesser extent, alcohol dehydrogenase (ADH1B) genes. We use this genetic variation with an adoption design to test the causal role of alcohol use on other drug use, as well as the moderating role of adoptive parent, sibling, and peer alcohol use. Longitudinal models were run on 412 genotyped adopted individuals of East Asian ancestry with multiple assessments between ages 14 and 40. We found robust associations between alcohol frequency, quantity, and maximum drinks and ALDH2, but not ADH1B, status. The magnitude of the ALDH2 protective effect increased with age, particularly for maximum drinks, though estimates were smaller than previously reported in ancestrally similar individuals in East/North-East Asian countries. These results suggest that sociocultural factors in Minnesota may reduce the protective effects of ALDH2. We found that peer alcohol use, but not parent or sibling use, predicted adopted offspring’s use, and that these environmental influences did not vary by ALDH2 status. Finally, we did not find strong evidence of associations between ALDH2 status and tobacco, marijuana, or illegal drug use, contrary to expectation if alcohol serves as a gateway to use of other drugs.