bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolving trust in business relationships – A behavioural experiment
Authors: Gelei Andrea , Dobos Imre 
Published: June 2022

Abstract
Using situation-specific and dyadic data, we analyse how trust in inter-organisational relationships evolve over time. Based on a multidisciplinary approach, we define four trust-related concepts, which include both behavioural and perceptual aspects of this multifaceted phenomenon. We also develop the hypothesis that the behavioural consistency of the trustee affects the level of his/her trustworthiness as perceived by the trustor. To test this hypothesis, the paper specifies a finite Dynamic Trust Game that, in a unique way, models longer-term relationships characterised by interdependent actions between partners. In contrast to the simple Repeated Games modelling discrete exchange episodes, this game corresponds to the requirements of the interaction approach of the relationship management, since the iterations of the game are interrelated and embedded in previous ones.
Timely development of the behavioural variables in the game reflects an inverse U-shape with an increasing willingness to cooperate until round 8, with a maximum cooperation level of 80% on average. Behaviour seems to affect the perceived level of trustworthiness. However, we need additional experimental data on inconsistent behaviours to get a clear understanding of this effect.
An Agent Model for the Appraisal of Normative Events Based in In-Group and Out-Group Relations
Authors: Ferreira Nuno , Mascarenhas Samuel , Paiva Ana , Di Tosto Gennaro , Dignum Frank , Mc Breen John , Degens Nick , Hofstede Gert , Andrighetto Giulia , Conte Rosaria 
Published: June 2022

Emotional synthetic characters are able to evaluate (appraise) events as positive or negative with their emotional states being triggered by several factors. Currently, the vast majority of models for appraisal in synthetic characters consider factors related to the goals and preferences of the characters. We argue that appraisals that only take into consideration these "personal" factors are incomplete as other more social factors, such as the normative and the social context, including in-group and out-group relations, should be considered as well. Without them, moral emotions such as shame cannot be appraised, limiting the believability of the characters in certain situations. We present a model for the appraisal of characters' actions that evaluates whether actions by in-group and out-group members which conform, or not, to social norms generate different emotions depending on the social relations between the characters. The model was then implemented in an architecture for virtual agents and evaluated with humans. Results suggest that the emotions generated by our model are perceived by the participants, taking into account the social context and that participants experienced very similar emotions, both in type and intensity, to the emotions appraised and generated by the characters.
Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks
Authors: De Campos Cassio , Cozman Fabio 
Published: June 2022

Semi-qualitative probabilistic networks (SQPNs) merge two important graphical model formalisms: Bayesian networks and qualitative probabilistic networks. They provide a very general modeling framework by allowing the combination of numeric and qualitative assessments over a discrete domain, and can be compactly encoded by exploiting the same factorization of joint probability distributions that are behind the Bayesian networks. This paper explores the computational complexity of semi-qualitative probabilistic networks, and takes the polytree-shaped networks as its main target. We show that the inference problem is coNP-Complete for binary polytrees with multiple observed nodes. We also show that inferences can be performed in time linear in the number of nodes if there is a single observed node. Because our proof is constructive, we obtain an efficient linear time algorithm for SQPNs under such assumptions. To the best of our knowledge, this is the first exact polynomial-time algorithm for SQPNs. Together these results provide a clear picture of the inferential complexity in polytree-shaped SQPNs.
Value-Directed Compression of Large-Scale Assignment Problems
Authors: Lu Tyler , Boutilier Craig 
Published: June 2022

Data-driven analytics — in areas ranging from consumer marketing to public policy — often allow behavior prediction at the level of individuals rather than population segments, offering the opportunity to improve decisions that impact large populations. Modeling such (generalized) assignment problems as linear programs, we propose a general value-directed compression technique for solving such problems at scale. We dynamically segment the population into cells using a form of column generation, constructing groups of individuals who can provably be treated identically in the optimal solution. This compression allows problems, unsolvable using standard LP techniques, to be solved effectively. Indeed, once a compressed LP is constructed, problems can solved in milliseconds. We provide a theoretical analysis of themethods, outline the distributed implementation of the requisite data processing, and show how a single compressed LP can be used to solve multiple variants of the original LP near-optimally in real-time (e.g., tosupport scenario analysis). We also show how the method can be leveraged in integer programming models. Experimental results on marketing contact optimization and political legislature problems validate the performance of our technique.
Exploring Social Context for Topic Identification in Short and Noisy Texts
Authors: Wang Xin , Wang Ying , Zuo Wanli , Cai Guoyong 
Published: June 2022

With the pervasion of social media, topic identification in short texts attracts increasing attention in recent years. However, in nature the texts of social media are short and noisy, and the structures are sparse and dynamic, resulting in difficulty to identify topic categories exactly from online social media. Inspired by social science findings that preference consistency and social contagion are observed in social media, we investigate topic identification in short and noisy texts by exploring social context from the perspective of social sciences. In particular, we present a mathematical optimization formulation that incorporates the preference consistency and social contagion theories into a supervised learning method, and conduct feature selection to tackle short and noisy texts in social media, which result in a Sociological framework for Topic Identification (STI). Experimental results on real-world datasets from Twitter and Citation Network demonstrate the effectiveness of the proposed framework. Further experiments are conducted to understand the importance of social context in topic identification.
A Proactive Sampling Approach to Project Scheduling under Uncertainty
Authors: Varakantham Pradeep , Fu Na , Lau Hoong Chuin 
Published: June 2022

Uncertainty in activity durations is a key characteristic of many real world scheduling problems in manufacturing, logistics and project management. RCPSP/max with durational uncertainty is a general model that can be used to represent durational uncertainty in a wide variety of scheduling problems where there exist resource constraints. However, computing schedules or execution strategies for RCPSP/max with durational uncertainty is NP-hard and hence we focus on providing approximation methods in this paper. We provide a principled approximation approach based on Sample Average Approximation (SAA) to compute proactive schedules for RCPSP/max with durational uncertainty. We further contribute an extension to SAA for improving scalability significantly without sacrificing on solution quality. Not only is our approach able to compute schedules at comparable runtimes as existing approaches, it also provides lower α-quantile makespan (also referred to as α-robust makespan) values than the best known approach on benchmark problems from the literature.
Counting-Based Search for Constraint Optimization Problems
Authors: Pesant Gilles 
Published: June 2022

Branching heuristics based on counting solutions in constraints have been quite good at guiding search to solve constraint satisfaction problems. But do they perform as well for constraint optimization problems? We propose an adaptation of counting-based search for optimization, show how to modify solution density computation for some of the most frequently-occurring constraints, and empirically evaluate its performance on several benchmark problems.
Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security
Authors: Mc Carthy Sara Marie , Tambe Milind , Kiekintveld Christopher , Gore Meredith , Killion Alex 
Published: June 2022

Green security — protection of forests, fish and wildlife — is a critical problem in environmental sustainability. We focus on the problem of optimizing the defense of forests againstillegal logging, where often we are faced with the challenge of teaming up many different groups, from national police to forest guards to NGOs, each with differing capabilities and costs. This paper introduces a new, yet fundamental problem: SimultaneousOptimization of Resource Teams and Tactics (SORT). SORT contrasts with most previous game-theoretic research for green security — in particular based onsecurity games — that has solely focused on optimizing patrolling tactics, without consideration of team formation or coordination. We develop new models and scalable algorithms to apply SORT towards illegal logging in large forest areas. We evaluate our methods on a variety of synthetic examples, as well as a real-world case study using data from our on-going collaboration in Madagascar.
Simulasi Perilaku Fluks Neutron di Reaktor RSG-GAS dengan Metode RUNGE KUTTA
Authors: Hakim Abdul Aziz Rohman 
Published: June 2022

Pemodelan reaktor sebagai sebuah titik menghasilkan satu set pasangan persamaan diferensial biasa yang disebut sebagai persamaan kinetika reaktor titik (reactor point kinetic). Persamaan tersebut merupakan persamaan simultan orde satu yang menggambarkan perilaku reaktor gayut waktu. Persamaan kinetika reaktor titik dapat diselesaikan secara numerik, salah satunya dengan metode Runge Kutta Orde 4. Metode Runge Kutta Orde 4 dipilih karena memberikan hasil perhitungan yang lebih akurat meskipun dengan pemrograman yang relatif lebih sulit. Pemrograman dilakukan dalam bahasa FORTRAN, sedangkan hasil perhitungan divisualisasikan dengan Matlab. Penelitian ini bertujuan menyajikan penyelesaian persamaan kinetika reaktor titik secara numerik menggunakan metode Runge Kutta Orde 4 untuk menggambarkan hubungan reaktivitas dengan fluks neutron dalam teras reaktor. Langkah pertama, penentuan nilai densitas neutron awal (No), konsentrasi prekursor neutron awal (Co), reaktivitas awal (ρo), fraksi neutron kasip (βi), waktu generasi neutron kasip, dan konstanta peluruhan prekursor (λi). Langkah kedua, menyelesaikan persamaan diferensial densitas neutron dan konsentrasi prekursor dengan metode Runge Kutta Orde 4, Langkah ketiga, melakukan simulasi insersi reaktivitas step, sinusoidal dan reaktivitas fungsi densitas neutron. Langkah keempat, membuat visualisasi dengan Matlab. Data yang digunakan dalam perhitungan kinetika reaktor titik adalah data parameter kinetika teras TWC Silisida RSG-GAS Tabel V-17 LAK Rev. 11 tahun 2020. Hasil kajian menunjukkan bahwa penyelesaian persamaan kinetika reaktor titik dengan metode Runge Kutta Orde 4 menunjukkan perilaku fluks neutron di dalam teras akibat insersi reaktivitas yang sesuai dengan teori kinetika reaktor. Hasil kajian juga dapat menggambarkan hubungan antara reaktivitas dengan fluks neutron dalam teras pada insersi reaktivitas undak (step), sinusoidal, dan reaktivitas fungsi densitas neutron
Computation Study of Radioisotopes Gallium-68 (68Ga) Production using Long-lived & High Activity methods
Authors: Rattyananda Badra Sanditya , Martoprawiro Muhamad Abdulkadir , Arifah Aminatus , Meliawati Aristia Pratiwi , Widayanti Merika Indri , Tursinah Rasito , Setiadi Yanuar 
Published: June 2022

Radioisotopes used for gamma-ray-based diagnostics have the main problem that imaging resolution quality.Gallium-68 is a positron (β+) emitting radioisotope that has better imaging resolution than gamma-based radioisotopes. Gallium-68 (68Ga) can be produced by irradiating natural gallium or zinc-68 enriched as a target with protons in an accelerator facility. Indonesia has planned to build a cyclotron type accelerator that operates in 13 MeV proton energy and 50 µA proton beam who has initials named DECY-13. Before it was commissioned for radioisotopes production purpose that was must conduct a preliminary study to determine 68Ga optimum irradiation time and properties, one of which was the monte carlo computation method using PHITS v3.24 software. Simulations were begun by irradiating proton with natural gallium target for 25 days with 2 days cooling and zinc-68 enriched for 120 minutes with cooling 10 minutes. The results at EOB of the long-lived process using the natGa target obtained total radioactivity of 189.42 MBq (5.12 mCi). The total radioactivity result of high activity process which used 68Zn enriched as a target was 268.6 GBq (7.259 Ci). the radioactivity was compared with another accelerator, that the long-lived process was too small and uneconomical to done, but the high activity process was feasible to produce. The results of this research expected will be considered as a feasibility study for the 68Ga production process in Indonesia in the future.
DNA Databases for Criminal Justice System: A Pathway towards Utopian or Dystopian Future?
Authors: Erbaş Rahime 
Published: June 2022

Abstract: DNA evidence has increasingly become a widespread instrument in solving crime as well as crime prevention. As such, creation of DNA databases or expanding the existing ones have been on the rise in the world. On the one side, storing DNA profiles serves as a pivotal tool in crime solving, but on the other, privacy based on genome concerns occur. DNA databases appears as an example of biotechnology today and in the future that are argued in a spectrum ranging from utopia to dystopia. This methodical approach, of course, is nothing new or novel for a DNA database-related study. This study, however, aims to analyse the matter from the standpoint of criminal law and to discuss whether the modus operandi of criminal procedure on the use of DNA databases paves the way towards utopian or dystopian vision for future. As such, after introducing theme and indicating scope of the study (I), it provides an overview regarding the involvement of DNA as evidence and respectively database in criminal justice system in the world (II). Whether databases established for criminal justice system serve for dystopian.
The power of diaphragm ultrasonography in predicting weaning success
Authors: ALTINKAYA ÇAVUŞ Mine , GÖKBULUT BEKTAŞ Şerife , SİPAHİOĞLU Hilal , ERTÜRK ZARARSIZ Gözde , TURAN Sema 
Published: June 2022

Purpose: The aim of this study; to evaluate the effects of diaphragm thickness on weaning with ultrasonography (USG).
Materials and Methods: In this prospective study; demographic characteristics of the patients, indications for hospitalization in the intensive care unit and mechanical ventilation, comorbidity, diaphragm thickness, Sequential Organ Failure Assessment (SOFA) score and Simplified Acute Physiology Score (SAPS) II, mortality rate, peripheral oxygen saturation (SpO2), invasive mechanical ventilator (IMV) duration, minute volume, respiratory rate (RR), expiratory volumes (VTE), RSBI values were recorded. The patients were ventilated spontaneously for 30 minutes in pressure support (PS) mode in IMV. Diaphragm thickness (DT) was measured using a 7-10 MHz linear ultrasound probe set to B mode. The right hemidiaphragm was visualized in the midaxillary line between the 8th and 10th intercostal spaces, at the junction of the diaphragm and rib cage. After the measurements were stabilized, the patients were taken to the T-tube for one hour. The patients who successfully completed T-tube spontaneous breathing trials (SBT) were extubated. The patients were divided into two groups as successful and unsuccessful weaning.
Results: A total of 72 patients were evaluated by meeting the inclusion criteria. Four of the patients were excluded from the study because they received IMV support for less than 24 hours. There was no difference between the groups in the ratios of diaphragm thickness index (DTI) and diaphragmatic thickening fraction (DTF). The thickness measurements of the diaphragm, defined as diaphragm thickness at the end of inspiration (DTV) and diaphragm thickness at the end of expiration (DFRV), were higher in the successful weaning group. The best threshold value of DTV to predict weaning success was found to be 0.72 and DFRV value to be 0.669.
Conclusion: Weaning success is closely related to diaphragm functions, diaphragm thickness parameters and lung capacities. USG is a practical, bedside, noninvasive method that can be used to evaluate the diaphragm. DTV and DFRV are among the parameters that can predict success in the weaning process. DTF and DTI were found to be insufficient in predicting weaning success.
A neglected treatment in middle school and high school age genital trauma: analgesia management with pain scoring
Authors: DEMİRCİ Burak , ÇALTILI Çilem , COŞKUN Abuzer 
Published: June 2022

Purpose: The purpose of this study was to assess analgesic applications accompanied by numerical and verbal pain scores, radiological imaging, and consultation requests for genital traumas, which affect a small percentage of middle and high school students.
Materials and Methods: This retrospective study included 237 middle school and high school age, 10-18 years old patients who applied to the emergency department due to genital trauma between January 2019 and December 2020. The types of trauma, radiological imaging, genital organ injuries, analgesia applications, consultations, and verbal and numerical pain scale scores of patients were all evaluated.
Results: Of the 237 patients included in the study, 90 (38%) were female, and the mean age was 13.80±2.37 years (range, 10-18 years). Of the patients, 136(57.4%) were admitted with falls, 63(26.6%) traffic accidents, 35(14.8%) penetrating and 3(1.3%) iatrogenic injuries. The numerical pain score was 6.63±1.43 in falls, 6.09±1.66 in traffic accidents, 4.80±1.53 in penetrating injuries, and 3.67±1.15 in iatrogenic traumas. Analgesics were administered to 93(39.2%) of all patients. The severity of pain was mild in 43(18.1%) patients. It was moderate in 140(59.1%) and severe in 54(22.8%).
Conclusion: Genital traumas that occur alone are extremely rare and are frequently associated with multiple organ injuries. Genital traumas have a wide variety of etiological causes and complications. In cases of pediatric genital trauma, the use of verbal and numerical pain scales may be beneficial in evaluating patients, determining imaging requirements, and determining analgesia applications.
Efficacy of steroid treatment and identification of prognostic factors in idiopathic peripheral facial nerve palsy in children
Authors: KOÇ UÇAR Habibe , SARIGEÇİLİ Esra 
Published: June 2022

Purpose: The aim of the study is intended to investigate the etiology and clinical features of children with idiopathic peripheral facial palsy (IPFP) and to identify probable prognostic factors. It is also intended to investigate corticosteroid therapy and compare its efficacy.
Materials and Methods: A total of 80 patients with newly diagnosed IPFP were included in the study. Demographic, clinical features and laboratory findings including age, gender, House Brackmann Facial Nerve Grading System (HBGS) grade at admission and follow-up, and the dosage and onset of steroid treatment were reviewed. We assigned our patients to 3 groups: Group 1: Patients given 1 mg/kg oral steroid treatment (1 mg/kg/day oral prednisolone). Group 2: Patients given 2 mg/kg oral steroid treatment (2 mg/kg/day oral prednisolone), and Group 3: Patients who did not receive oral steroid treatment.
Results: A total of 80 children (41 girls and 39 boys) with a median age of 11 years were included in the study. The complete recovery was detected in %78,8(n:63) with IPFP. Of all patients, 78.8% (n=63) showed complete recovery. Admission after more than 24 hours was found to reduce the likelihood of ER by 10 times (1/0.10), while patients with HBGS grade of 5 were found to be 33.3 times (1/0.03) less likely to achieve ER than patients with HBGS grades of 2 to 3. Finally, steroid treatment at 2 mg/kg/d increased the probability of early recovery by 8.38 times.
Conclusion: The prognosis of IPFP in children was very good. The prognostic factors affecting the early recovery were being HBGS grade 2 or 3 on the 21th day and receiving steroid treatment in the first 24 hours and 2 mg/kg/d dose.
Role of cardiac magnetic resonance imaging in predicting atrial fibrillation in patients with hypertrophic cardiomyopathy
Authors: GÜLER Arda , ŞAHİN Ahmet Anıl , AYDİN Sinem , UÇAR Servet Umut , UYGUR Begüm , ÇELİK Ömer , ERTURK Mehmet 
Published: June 2022

Purpose: The present study sought to investigate the association between Cardiac magnetic resonance (CMR) imaging parameters including late gadolinium enhancement (LGE), total left ventricular mass (TLVM), mitral regurgitation, and left atrial (LA) volume, with atrial fibrillation (AF) in hypertrophic cardiomyopathy (HCM). patients.
Materials and Methods: Consecutive 122 patients with the diagnosis of HCM and together with having 48-hour Holter monitoring were included in the present work. Two experienced observers evaluated all CMR images. The correlation between AF and CMR parameters including TLVM, LA volume, the presence and extent of LGE, mitral regurgitation, and the maximum left ventricular thickness were evaluated.
Results: Between the LA volume and AF, a significant correlation was observed. Additionally, TLVM was also associated with AF. The logistic multivariate analysis assessing TLVM, LA volume, and the extent of LGE revealed that only the left atrial volume was the independent predictor. Significant correlations were observed between the existence and extent of LGE, TLVM, mitral regurgitation and LA volume.
Conclusion: The presence of LGE was positively correlated with LA volume. LA volume appears to be the most important independent predictor of AF in HCM patients.