Miracle-dz/UniFAR-FTUs huggingface dataset:
Global Termination and Recurrence Macro Trends: A Follow-Up to Licklider and Dixon

ABSTRACT In this Special 25th Anniversary Issue, we (re)examine several macro historical trends concerning civil war termination and recurrence that were raised in the journal’s first issue by Roy Licklider and then followed-up on 10 years later by Jeffrey Dixon. These trends have to do with: (1) the global prevalence of recurrence; (2) the global prevalence of termination types; (3) patterns of recurrence by termination type, and (4) post-conflict patterns of civilian victimisation by termination type. With the advantage of more comprehensive and more systematised data, the analysis identifies several structural breaks in termination and recurrence trends, as well as differences in how outcomes regulate the inflow and outflow of fighting groups in countries. Over decades, conflict recurrence has been becoming more and more concentrated in a smaller subset of countries, and the majority of conflict recurrences are caused by new groups and not by previously terminated groups. Around 59 per cent of recurrences following peace accords are caused by new groups with no prior appearance in the conflict record, while 71 per cent of recurrences following government victory are caused by new groups. Since 2010, termination rates have declined by 25 per cent and recurrence rates have risen 44 per cent compared to the period 1990–2009. In addition, new conflicts entering the system after 2010 are up 150 per cent. As a result of these macro trends, the number of ongoing civil wars in the world is currently at an all time high.
Late Minoan IB destructions and cultural upheaval on Crete: A bioarchaeological perspective

This paper discusses representative results from strontium isotope ratio (87Sr/86Sr) and biodistance analyses of archaeological human skeletal material carried out to assess the validity of the theory of a LMIB (ca. 1490/1470 BC) Mycenaean invasion of Crete and imposed political domination of Knossos, and thus shed more light onto the question of the LMIB destructions and the subsequent cultural upheaval on the island. These analyses show that the people buried in postLMIB tombs at Knossos, traditionally associated with Mycenaeans based on material culture evidence, were in fact born locally and not in the Argolid. Further, the analyses presented reject the possibility that these people may represent the descendants of immigrants from the latter region. Additional negative evidence for the theory tested comes from further cranial and dental morphological analyses presented in the author’s doctoral thesis, as well as the material culture itself, briefly discussed here.
Enjoyment of Murder Mystery Game Reality Shows: The Influence of Affective Disposition, Suspense and Parasocial Interactions

Murder mystery game reality shows become a popular media entertainment in China. To figure out what factors contribute to the popularity of this new type of reality show, the current study seeks to examine the roles of the crime narrative and the celebrities in audiences’ enjoyment of the shows. Our study integrates the affective disposition model, the concept of suspense, the meaning transfer model, and the theory of parasocial interactions. A cross-sectional survey was conducted with 350 respondents in China in 2022. The results show that audiences’ liking of the celebrities who play detective roles in the reality shows is significantly transferred to their liking of the detectives. The impact of audiences’ liking of the detectives on their enjoyment is mediated by the audience’s suspenseful feelings gained in the crime narrative of the reality shows. Besides, the audience’s parasocial interactions with the detectives mediate the relationship between their liking of the detectives and their suspenseful feelings. The implications of this research are discussed concerning the development of the affective disposition model in a new entertainment genre.
Self-Challenge, Flexibility, and Recognition: Its Correlation with Entrepreneurial Self-Efficacy and Intention among Business-Management Students

This research article examines self-challenge, self-flexibility, and self-recognition as the first set of variables, and its relationship with entrepreneurial self-efficacy and entrepreneurial intention as the second set of variables. This research was conducted on business-management students at the Faculty of Economics and Business, State University of Malang. The subjects in the study had taken entrepreneurship courses and entrepreneurship programs held on campus. There were 113 students who participated voluntarily as research respondents. Data were collected using the Google form and analyzed with canonical correlation to examine the relationship between the two sets of variables. The research results reveal that there is a relationship between the two sets of variables, and there is a congruence in direction between the two sets of variables.
Explaining the Barriers to Adherence to Treatment Regimens in Multiple Sclerosis Patients: A Qualitative Content Analysis

: Multiple sclerosis (MS) is a chronic and debilitating disease of the central nervous system and the most common cause of neurological deficits in young adults. Long-term adherence to a treatment regimen is an important challenge for MS patients. This study used a qualitative content analysis approach to explain the barriers to adherence to treatment regimens in MS patients. Materials and Methods: In this qualitative study, we conducted in-depth semi-structured interviews with 12 MS patients, two parents, two spouses, one child, two experienced nurses in neurology wards, two neurologists, one physiotherapist, one pharmacy technician and MS medications supplier, and one director at MS Society. Data were collected from 2017 to 2020 and analyzed with a conventional content analysis approach. Results: The analyses yielded four main themes and some related subcategories as the barriers to adherence to treatment regimens in MS patients: “discouraging treatment team” (similar symptoms and multiple differential misdiagnoses, delayed diagnosis and loss of treatment time, misinforming the patient, disparaging and mechanical view of the patient, damage to the trust-based relationship and developing defensive medicine, inappropriate interference of other medical team staff in doctors’ job, lack of compassion and disregard for the patient’s educational and medical needs, lack of effort to gain patient trust, doubts about adherence to the treatment regimen, doctor-patient disagreement about the treatment); “disappointing family” (poor cooperation, negative behaviors, misconduct of the spouse’s family, fear and misconceptions); “ignorant society” (hasty judgments, weak culture, economic sanctions); and “personal problems” (devastating unemployment, debilitating economic poverty, disappointment in the future). Conclusions: Adherence to treatment regimens in Iranian MS patients is associated with individual, family, and social factors and health care providers, such that they can discourage the patients from adhering to their treatment regimens. The focus of the treatment team staff on these factors can help promote adherence to the treatment regimen in MS patients and reduce the recurrence of the disease and readmissions to hospitals.
The Impact of Nutritional Status on Patients with Pneumonia: A Retrospective Study

Background: Malnutrition risk is elevated amongst patients hospitalized with pneumonia; it's relevance to patient outcome has not been fully determined. The Malnutrition Universal Screening Tool (MUST) is a well validated tool for malnutrition screening in hospitalized patients. Objectives: To assess whether malnutrition is an independent risk factor associated with mortality. Methods: The study included all patients during 2008-2011, who were hospitalized in internal medicine departments because of pneumonia and underwent screening by MUST. Data were retrieved from electronic medical records and included: MUST score, Charlson Co-Morbidity (CCI) score, in-hospital mortality and five-year mortality. Results: The trial enrolled 507 patients; 219 (43%) females, mean age of 71.4 +/-17.3 years, 34.91% at risk for malnutrition. The bivariate analysis in hospital mortality was 3.38 times (CI 2-5.73, p<0.001) higher in patients with a MUST score of 2 or more than in patients with a MUST score of less than 2 (23.2% vs. 8.2% respectively). In-hospital mortality was significantly higher in patients older than 70 years of age, with a higher CCI and lower albumin levels. On multivariate analysis: age, high MUST, CCI, and low albumin were found to be significantly associated with higher mortality rates. Patients with a MUST score of 2 or more and a CCI of 1 or 2 had significantly higher five years mortality rates (p < 0.001). Conclusions: Pneumonia patients at risk for malnutrition had higher in- hospital and five years mortality rates than patients not at increased risk for malnutrition.
Water Quality, Heavy Metal Accumulation, and Haematological Studies in Economically Important Fishes, Oreochromis mossambicus and Catla catla at Retteri

: The current study examined water quality variables, heavy metal accumulation, and haematological markers in Oreochromis mossambicus and Catla catla in Retteri Lake from July 2022 to January 2023. The study revealed that the water quality of the Lake was within acceptable limits for the majority of the criteria examined. However, heavy metal concentrations in the water surpassed acceptable limits, indicating potential toxicity hazards to fish and other aquatic organisms. The fish's haematological indices indicated a considerable drop in red blood cell count, haemoglobin
A Deeper Look at Sources of Errors that Affect the Classical Double-Ended Traveling Wave-Based Fault Location Method

This paper analyzes sources of errors that typically affect the classical Double-Ended Traveling Wave (TW)-based Fault Location (DETWFL) method. A deeper look at the effects of time synchronization errors, TW detection deviations, propagation velocity in-accuracies and line length uncertainties is provided, being the interaction between these sources of errors also investigated by means of parametric sensitivity studies. The obtained results reveal that time synchronization errors, TW detection deviations and uncertainties on line parameters interact between each other and with fault distance and line propagation velocity, so that, depending on their combination, DETWFL errors can increase or reduce. Hence, the need for two-terminal data synchronization means, reliable TW arrival instant detectors and accurate information on line parameters to calculate propagation velocity settings is proven, being the influence of these factors during DETWFL procedures mathematically explained.
House Base-Price Prediction with Machine Learning Methods

Various factors like location, size, age, and condition must be considered to predict house prices accurately. This study utilizes historical sales data and demographic information in conjunction with machine learning algorithms, such as Random Forest, XGBoost, Support Vector Regression, and Artificial Neural Networks, to forecast home prices. The Kaggle dataset "House Sales in King County, USA" was used to test the proposed models. This research aims to help buyers find affordable properties and make informed decisions. Previous studies have shown that machine learning algorithms are more effective than traditional regression models in predicting house values. By utilizing artificial intelligence and machine learning, this study aims to improve the performance and effectiveness of predicting home prices. Our findings indicate that the ANN model has the highest performance results compared to the other models, with an performance rate of 0.785 before tuning and 0.887 after tuning. XGBoost comes in second with an performance rate of 0.886 after tuning, followed by Random Forest with an performance rate 0.855 after tuning. Finally, SVR is in fourth place with an performance rate 0.849 after tuning. Based on these results, we recommend using the ANN approach for estimating property prices in future research.
Finger Pointnet: An End-to-end Embedded Network for 3D Fingerprint Verification

Contactless 3D fingerprint gains significant attention in recent years. Much of previous works for 3D fingerprint verification were based on minutiae. They required a series of laborious preprocessing and relied on software to extract minutiae. To alleviate these problems, this research presents an end-to-end embedded network for fingerprint verification. Firstly, we propose to extract ridge lines from the original large and redundant 3D fingerprint point cloud data. Then, we design two weight-shared encoders to extract features from a pair of positive 3D fingerprints. Finally, loss backpropagation from the hardest sample in a mini-batch permitted in our approach makes it can distinguish negative samples. The experiments on a public database and an in-house database verify that our approach achieves desirable performance and significantly speeds up feature extraction and matching compared with traditional approaches.
Multi-Dimensional Context-Aware Adaptation of Service Front-Ends

Serenoa News Serenoa project reaches in 2013 its last and third year. The end of the project has been extended in one month, and it will be concluded by September 2013. The final review meeting will take place afterwards in Brussels, Belgium. • Models: Reference Models in UML and OMG-MOF • Languages: ASFE-DL and AAL-DL • Prototypes: avatar-based interaction for e-health domain, and houseware picking with head-mounted device and augment reality This final period of the project is concerned with the convergence and conclusion of all the outcomes obtained so far. The final goal consists in generating a unified and seamless platform that provides support for context-aware applications which are able to adapt themselves in an optimal manner. This fifth newsletter is dedicated to describe our latest achievements and to detail our planned steps for the coming months. In this newsletter you find further information about our communication channels and progress of the project. In case of suggestions, comments or doubts, please contact us at: serenoa@tid.es For the final period of the project there are 14 deliverables planned. The second Serenoa workshop – CASFE'2013 will take place co-located with the EICS Conference at CASFE Workshop is dedicated to discuss and promote the context-aware adaptation domain. The topics of interest involved include: mobile development, multi-modal applications, approaches for adaptation development, conceptual frameworks, prototypes, demonstrations and evaluation with end users.
Modern Solution of Inductive Charging System for 800 V Batteries of Electric Vehicles

The increased popularity of battery electricvehicles (BEVs) in last years shifted focus of the research and development activities towards future technologies for the charging infrastructure. The inductive charging of BEVs' batteries is an emerging charging method that is convenient, robust, safe, and efficient. In this paper two subjects are covered: the inductive charging system (ICS) 11 kVA and the auxiliary power supply (APS) of that system. The paper first provides a brief outlook of trends regarding BEVs, market for wireless inductive charging, and system needs. Then it addresses the ICS 11 kVA. The system efficiency measurement results are provided as well as common challenges. The second part of this paper is about architecture, design and operation, experimental results, and lessons learned during development of the APS of the ground assembly for the ICS. The chosen topology for that was an active-clamped flyback (ACF) dc-dc converter. Moreover, short notes on hardware engineering aspects within automotive environment (i.e. Automotive SPICE®) and relevant standards, needed for the hardware developers, are provided. In addition, a solution is presented on how to obtain the missing data, in IEC 60664–4 standard, which are needed for calculation of the safety distances.
Harmonic Loss Reduction of Permanent-Magnet Vernier Motor with Different Stator Modular Designs

Permanent-magnet vernier (PMV) motor is well-known for its distinctive performances of high torque at low speeds, making it suitable for direct drive application. However, the rich harmonics lead to the high loss and low efficiency of motor system. To suppress the harmonic loss, a stator modular design concept is proposed for PMV motor. Firstly, the precondition that the motor meets the stator modular design is derived, and according to this, a variety of options for modular design are expounded, including uniform or non-uniform modular designs and tooth or yoke modular designs. Then, the harmonic distributions of PM field, armature reaction field, and harmonic loss of PMV motor with fractional slot concentrated winding (FSCW) are analyzed. Based on finite element analysis, the inhibitory effect of modular design method on the amplitude of the harmonic with low pole pair number in the motor armature reaction field is verified. Through comparison, it is found that the proposed stator modular design method can suppress motor losses without reducing output performance. Finally, a PMV motor with modular stator is processed and tested to verify the analysis.
Preparation and Hydrophobic Properties of 5-Arylalkylidenerhodanines

Some 5-arylalkylidene-2-thioxo-1,3-thiazolidine-4-one derivatives were prepared as potential antimicrobial compounds. General synthetic approach of all newly synthesized compounds is presented. All the discussed rhodanine derivatives were analyzed using the reversed phase high performance liquid chromatography (RP-HPLC) method for the lipophilicity measurement. The procedure was performed under isocratic conditions with methanol as an organic modifier in the mobile phase using end-capped non-polar C18 stationary RP column. In the present study the correlation between RP-HPLC retention parameter log K (the logarithm of capacity factor K) and log P values calculated in various ways is discussed as well as the relationships between the lipophilicity and chemical structure of the studied compounds.
An Improved Droop Control Method in High Voltage DC Parallel Electric Power System for the More Electric Aircraft

The high voltage DC (HVDC) electric power system (EPS) has the advantages of being lightweight and high efficiency, which is the trend of more electric aircraft (MEA). Another advantage of HVDC EPS is easy to be connected in parallel, which improves the ability of the system to carry high-power non-linear loads, as well as the reliability and stability of the system. In this paper, an improved droop control method for parallel EPS with HVDC wound rotor synchronous machine (WRSM) is proposed. The system impedance model is derived, and the stability of the system under the three control methods is analyzed. The theoretical analysis and simulation results show that the proposed method can compensate for the voltage while ensuring high accuracy of current sharing and improving the stability of the system.
Approximating Nash Equilibria for Uruguayan Truco: A Comparison of Monte Carlo and Machine Learning Approaches

Uruguayan Truco is a positive-sum and imperfect information card game with 2, 4 and 6 player variants. Finding the Nash equilibria of such games is very hard, so we approximate them using Computational Game Theory and Deep Reinforcement Learning methods. We implement Counterfactual Regret Minimization (CFR) and some of its variants, and Deep Monte Carlo (DMC). We also propose two levels of manual abstraction to reduce the number of information sets, which are sets of indistinguishable game states. We evaluate our methods on T1K22, a dataset of 79,000 random hands of Uruguayan Truco, against two baseline agents and a human player. We find that CFR-based methods outperform DMC, especially External Sampling Monte Carlo CFR, which converges faster and achieves a higher win rate. It is remarkable that, after 2 weeks of training (totaling 4,032 core hours), starting from scratch and without using any human knowledge, the best agents defeated every baseline, with win rates significantly higher than 50%.
Accelerating slip rates on the Puente Hills blind thrust fault system beneath metropolitan Los Angeles, California, USA

Slip rates represent the average displacement across a fault over time and are essential to estimating earthquake recurrence for probabilistic seismic hazard assessments. We demonstrate that the slip rate on the western segment of the Puente Hills blind thrust fault system, which is beneath downtown Los Angeles, California (USA), has accelerated from ∼0.22 mm/yr in the late Pleistocene to ∼1.33 mm/yr in the Holocene. Our analysis is based on syntectonic strata derived from the Los Angeles River, which has continuously buried a fold scarp above the blind thrust. Slip on the fault beneath our field site began during the late-middle Pleistocene and progressively increased into the Holocene. This increase in rate implies that the magnitudes and/or the frequency of earthquakes on this fault segment have increased over time. This challenges the characteristic earthquake model and presents an evolving and potentially increasing seismic hazard to metropolitan Los Angeles.
Full-Wave Analysis of Wind Turbine Transient Response to Direct Lightning Strikes

Lightning strikes attachment to Wind Turbines (WTs) is not uncommon. The current discharge along the WT components can cause variations in the electromagnetic field radiation, affecting the surrounding power and electronic systems. In this contribution, a WT transient response to direct lightning strikes is studied with a full-Maxwell approach, involving a complete model for the WT. Simulations are carried out considering both first and subsequent return strokes to one of the rotor blades. Significant reflections are found in the lightning current waveforms through the WT, and this gives rise to amplifications in the radiated electromagnetic fields with respect to ground discharges.
FACTORS AFFECTING THE TIMELINESS OF COMPLETION OF DONOR-FUNDED PROJECTS IN KENYA: A CASE OFWORLD AGROFORESTRY CENTRE (ICRAF)

http://www.ejobm. org ISSN 2307-6305| P a g e 1 FACTORS AFFECTING THE TIMELINESS OF COMPLETION OF DONOR-FUNDED PROJECTS IN KENYA: A CASE OFWORLD AGROFORESTRY CENTRE (ICRAF) Samuel Ndung’u Gaturu Corresponding Author Jomo Kenyatta University of Agriculture & Technology School of Human Resource Development P.O. BOX 62000-00200, Nairobi, Kenya samgaturu@gmail.com Dr. Willy Muturi Jomo Kenyatta University of Agriculture & Technology School of Human Resource Development P.O. BOX 62000-00200, Nairobi, Kenya
Risk Associated with Upward Unconnected Leader in Human Beings

This study presents the risks caused by Upward Unconnected Leader (UUL) for people close to the lightning strike point. In one of the last steps of a negative cloud-to-ground lightning development, several UUL's can formed. UUL have electrical currents that can trigger data on people. This study presents the simulation of a UUL leaving a person who is in an open area. A human body model for high frequency and the typical UUL available in the literature were applied in the simulations. The EMTP software was used for simulations. Based on the human being model, the present study shows that damage to internal tissues can occur due to the circulation of high electric current, which can cause the death of victims.