Miracle-dz/UniFAR-FTUs huggingface dataset:
It's Not Just About the Product: How Persuasive Communication Affects the Disclosure of Personal Health Information

Individuals' disclosure of personal health information (PHI) can hold substantial benefits for both users and providers, but users are often reluctant to disclose, even if they gain benefits such as better personalization. While previous research has dealt with message framing and information quality in a health-related context, these factors have been observed separately. To our best knowledge, we are among the first to have examined both factors (attribute framing and argument strength) and their interactions concerning PHI disclosure. Thus, we conducted a web-based experiment with 529 participants to examine the impacts of two persuasive message techniques (attribute framing and argument strength) on individuals' PHI disclosure. We reveal that individuals tend to disclose more PHI when they experience persuasive messages with more positively framed health wearable (HW) attributes or messages with higher argument strength based on the reasons for the data collection. We enable researchers to uncover the impacts of persuasive messages in highly sensitive data environments and provide practitioners with workable suggestions on how to affect individuals' PHI disclosure behaviors.
DIY Fabrication of High Performance Multi-Layered Flexible PCBs

We present a novel DIY fabrication workflow for prototyping highly flexible circuit boards using a laser cutter. As our circuits consist of Kapton and copper, they are highly conductive and thus support high-frequency signals, such as I2C. Key to our approach is a laser machine that supports both a CO2 laser as well as a fiber laser to precisely process respectively Kapton and copper. We also show how the laser cutter can cure soldering paste to realize VIAs (Vertical Interconnect Access) and solder components. In contrast, previous approaches for prototyping flexible PCBs through laser cutting only considered CO2 lasers which can not process metals. Therefore these approaches mainly used ink-based conductors that have a significantly higher electrical resistance than copper.
T-series analysis for predicting apple prices in indonesian market using the SARIMA method

Autoregressive Integrated Moving Average, or ARIMA, is one example of method that widely used to forecast price or stock exchange in the form of univariate time-series data. Although ARIMA could handle data with trend, it does not support time series analysis for seasonal goods like apple. SARIMA needed for time series analysis, which is seasonally changed. Apple price prediction using SARIMA could help to monitor the stock safety level of apple, which is rotten quickly. Dataset of average apple data in Indonesia captured from PIHPS (Pusat Informasi Harga Pangan Strategis Nasional), published by Bank of Indonesia in collaboration with Gamatechno. The objective of this research is to generate predictive stock information about apple's price habit by means of the time series analysis. Data was taken until 109 month from year 2018. The best Sarima model for Indonesian market is SARIMA(1,0,0)x(0,0,0,12) with AIC (Akaike Information Criterion) point about -126,89658390969188. Although best model is selected, MAPE indicator show that the error was 99.47, which show that model is not good enough for predict the apple price only using univariate analysis.
"Erfahrung & Erlebnis": Understanding the Bodily Play Experience through German Lexicon

Bodily play systems are becoming increasingly prevalent, with research aiming to understand the associated player experience. We argue that a more nuanced lexicon describing "bodily play experience" can be beneficial to drive the field forward. We provide game designers with two German words to communicate two different aspects of experience: "Erfahrung", referring to experience where one is actively engaged in and gains knowledge from; and "Erlebnis", referring to a tacit experience often translated as "lived experience". We use these words to articulate a suite of design strategies for bodily play experiences by referring to past design work. We conclude by discussing these two aspects of experience in conjunction with two previously established perspectives on the human body. We believe this more nuanced lexicon can provide a clearer understanding for designers about bodily play allowing them to guide players in gaining the many benefits from such experiences.
MCMs in Cancer: Prognostic Potential and Mechanisms

Enabling replicative immortality and uncontrolled cell cycle are hallmarks of cancer cells. Minichromosome maintenance proteins (MCMs) exhibit helicase activity in replication initiation and play vital roles in controlling replication times within a cell cycle. Overexpressed MCMs are detected in various cancerous tissues and cancer cell lines. Previous studies have proposed MCMs as promising proliferation markers in cancers, while the prognostic values remain controversial and the underlying mechanisms remain unascertained. This review provides an overview of the significant findings regarding the cellular and tumorigenic functions of the MCM family. Besides, current evidence of the prognostic roles of MCMs is retrospectively reviewed. This work also offers insight into the mechanisms of MCMs prompting carcinogenesis and adverse prognosis, providing information for future research. Finally, MCMs in liver cancer are specifically discussed, and future perspectives are provided.
Running head: SELF-GENERATED MISINFORMATION Self-Generated Misinformation in Perpetrator-Describing Techniques

283 words Main Body: 9754 words SELF-GENERATED MISINFORMATION 2 Abstract Eyewitnesses to crimes often provide crucial input in police investigations. In cases where the perpetrator is unknown, eyewitnesses can be required to create a composite of the perpetrator, in order to aid police in the apprehension of a suspect. However, research suggests that composites are often inaccurate (Kovera, Penrod, Pappas, & Thill, 1997), and that composite creators may be more likely to misidentify the target in a later recognition task (Kempen, 2009; Wells, Charman, & Olson, 2005). The theory of self-generated misinformation has been proposed to explain these phenomena. This theory hypothesises that in creating a composite, one must select features one may not remember, and there is therefore a confabulation of the face features that may restrict access to the original memory trace. This experiment aimed to investigate if this theory of self-generated misinformation could explain why composites may be so inaccurate and may negatively affect recognition. Participants either created a composite (a FACES or an ID composite) or produced a verbal description (a free-recall or elaborate description). The results suggest that, compared to other groups, creating holistic (ID) composites led to fewer target identifications, with participants rejecting the line-up and making no identification. When forced to choose, these participants would incorrectly select foils. However, ID composites also appear to be the best quality product alongside free-recall verbal descriptions. This research proposes that as ID composites require their creators to commit to a large amount of detail, the holistic image may hamper their memory of the original face, decreasing their confidence, and thereby resulting in increased rejections of the line-up. However, as the following discussion is tentative theorising, more research must be conducted to provide evidence for the theory of self-generated misinformation.
www.econstor.eu Welfare Economic Aspects of Land Use Planning

This paper develops a unifying framework for spatial and environmental economics, based on equilibrium considerations for population games. The main contribution of this paper consists of introducing a consistent concept for spatial welfare. Following the introduction of estimable locational sorting models for valuation methods in environmental economics, the relationship between the theoretical underpinnings of the hedonic pricing model and the bid rent concept in urban economics is re-examined. This is done along the definition of the ideal general equilibrium willingness to pay (GE-WTP) that is at the heart of most applications of locational sorting models in environmental economics. A GE-WTP should be able to account for the value ∗PhD candidate, e-mail: w.a. j.grevers@utwente.nl; †Professor of Spatial Economics, e-mail: a.vanderveen@utwente.nl; Institute for Governance Studies (IGS), Center for Clean Technology and Environmental Policy (CSTM), School of Business, Public Administration and Technology (BBT), University of Twente, P.O. Box 217, NL-7500 AE Enschede. Web: http://www.utwente.nl/cstm/.
MULTICHANNEL CHARGE AMPLIFIER FOR MEDICAL X-RAY IMAGING WITH ENERGY WINDOW SELECTION

A multichannel ASIC for medical X-ray imaging with energy window selection is presented. This chip contains 64 low noise, low power readout channels, each of them consists of charge amplifier, shaper, two amplitude discriminators and two 20-bit counters. The chip architecture is described in detail, with focusing on important design aspects like noise minimisation and reduction of mismatch effects in multichannel chip. Measurements of noise, and spread of gain and offset in 384-channel system dedicated to medical imaging with dual energy X-ray beam are presented.
Hatching Weight and Development of Metabolically Active Organs of Broiler Chicks Obtained from Carbohydrate Injected- Eggs

Two hundred fifty fertile eggs from Ross 308 breeder (33-week-old) were allocated randomly to five groups with five replicates. Except the negative control group eggs (non injected; NC), 1 ml isotonic solution was injected into the positive control (PC) group eggs while the other groups were injected with 0.25 mg glucose (G), sucrose (S) and starch (CS) dissolved in 100 ml isotonic solution, respectively. The G had higher hatching weight (P<0.05) and relative yolk weight (P<0.05) compared to other treatments at hatch. The relative liver weight was higher in S and CS chicks than in G and NC chicks (P<0.05). The relative proventriculus weight of S and CS chicks were higher than G and PC chicks, while gizzard weight was higher than G chicks (P<0.05). In ovo CS nutrition increased the relative weights of duodenum and jejenum according to NC and G treatments, respectively (P<0.05). Injection of S increased total digestive system (P<0.05). Although the impacts of in ovo different carbohydrates nutrition on whole digestive system or different parts of GIT were not at the same direction and stability our results shows that the in ovo carbohydrate nutrition lead to more developed digestive system and heavier chicks.
Best Practices of Islamic Leadership Principles among Principals of Excellent Secondary Schools Malaysia

The purpose of the study was to examine the best practice of Islamic leadership principles among principals of excellent secondary schools in Selangor, Malaysia. The lists of sixty principals as respondents and schools were obtained from the State Education Department of Selangor according to their GPS (Grade Point Standard) excellent achievement in the Lower Secondary Assessment in three consecutive years (2015, 2016, 2017). The study mainly referred to the principles of Islamic management (Khaliq, 2007), Islamic principles of educational leadership (Al-Hasani, 2009), dimensions of Transformational Leadership (Leithwood & Jantzi, 2000; Mohamad Johdi and Parvina, 2013), functions of Instructional Leadership (Hallinger & Murphy, 1987; Mohamad Johdi, 2014), fundamentals of Strategic Leadership (Davies & Davies, 2010; Hairuddin, 2016), and, characteristics of Islamic Exemplary Leadership (Kouzes and Posner, 2003; Mohamad Johdi and Robita, 2018). The self-administered questionnaire was then developed, modified, and validated as a mean of data collection and the findings were analyzed by using the Social Packages of Social Science version 23.0. It was very interesting to observe that all five principles of Islamic Educational Leadership were practiced at ‘Very High’ level by the respondents. More specifically, the result of the study showed that the highest score was ‘Self-Confidence’ with mean 4.870. The second highest was ‘Responsibility’ with mean score 4.830. The third and fourth were ‘Accountability’ with mean score 4.820, and, ‘Trust’ with mean score 4.800, respectively. Whilst, the lowest score was ‘Inspired a Shared-vision’ with mean score 4.470. Indeed, the study observed some indication for educational leaders, education officers and trainers to really consider the inclusion of these five Islamic leadership principles in the development of excellent educational leaders towards realization of Vision 2020 and Malaysian Education Blueprint 2013-2025 in the realm of IR 4.0.
Chapter 17-Matching, Allocation, and Exchange of Discrete Resources

We present a survey of the emerging literature on the design of matching markets. We survey the articles on discrete resource allocation problems, their solutions, and their applications in three related domains. The first domain gives the theoretical background regarding the basic models, namely “house allocation and exchange” problems. First, we investigate the allocation and exchange problems separately, and then we combine them to present a real-life application: on-campus housing at universities. As the second application domain, we extend the basic allocation and exchange models to the “kidney exchange” problem and present new theory and applications regarding this problem. We present proposed and adopted mechanisms that take very specific institutional details into account. Then, we present the school admissions problem in three subcategories: the “college admissions” model where both schools and students are strategic agents, the “school placement” model where only students are strategic agents and they induce an endogenous priority structure of schools over students, and finally the “school choice” model for the US public school districts where the students are the only strategic agents and the school priorities over the students are exogenous. In the final chapter, we investigate the basic models of the axiomatic mechanism design literature that present mechanisms that are generalizations of the mechanisms designed for the specific market design problems discussed before. JEL Codes: C78, D78
Fine-Grained Control of Sentence Segmentation and Entity Positioning in Neural NLG

The move from pipeline Natural Language Generation (NLG) approaches to neural end-to-end approaches led to a loss of control in sentence planning operations owing to the conflation of intermediary micro-planning stages into a single model. Such control is highly necessary when the text should be tailored to respect some constraints such as which entity to be mentioned first, the entity position, the complexity of sentences, etc. In this paper, we introduce fine-grained control of sentence planning in neural data-to-text generation models at two levels - realization of input entities in desired sentences and realization of the input entities in the desired position among individual sentences. We show that by augmenting the input with explicit position identifiers, the neural model can achieve a great control over the output structure while keeping the naturalness of the generated text intact. Since sentence level metrics are not entirely suitable to evaluate this task, we used a metric specific to our task that accounts for the model’s ability to achieve control. The results demonstrate that the position identifiers do constraint the neural model to respect the intended output structure which can be useful in a variety of domains that require the generated text to be in a certain structure.
Network Intrusion Detection System: Classification, Techniques and Datasets to Implement

The Network Intrusion Detection System (NIDS) is a useful security utility that helps to prevent unauthorized and unwanted access to network resources by observing the network traffic and identify the records as either normal or abnormal. In this paper, compare three algorithms for network intrusion detection SVM, KNN and Decision Tree over Dos, Normal, R2L and U2R attacks. The features of SVM dataset are the decline for each type of attacks using correlation-based selection feature method. Then with the reduced feature set, discriminant analysis has done for the classification of different records. Comparison with other techniques shows that modified approach provides good classification rate for Normal, Dos, R2L (Remote-to-Local) and U2R (User-to-Root) attacks. A NIDS can be a software or piece of hardware. Many NIDS tools will store event or log of the event at a later date or will combine events with other data to make decisions about damage control or regarding policies. This paper shows the comparison of the different types of attacks that can be detected in a simulated core network environment. The different types of attacks are normal, DoS, Probe attacks, R2L and U2R attacks. The proposed method is implemented by the Python (Anaconda Navigator) and R programming software and tested on NSL-KDD dataset.
Fill in the : A Deep Learning Investigation of Machine Comprehension

Cloze-style reading comprehension is a task designed to assess a language model’s understanding of textual meaning. In this task, one attempts to fill in the blank of a summary sentence based on a much larger document. We show that deep learning models (specifically, recurrent neural networks) have a significant improvement over base non-deep methods for this language task due to their ability to encode the general sense of a document and capture long range dependencies. We also apply attention methods to basic deep architectures to further strengthen its performance on this task.
Advances in effect of dopamine receptors on cognitive impairment in schizophrenia

669 · 精神分裂症是重性精神疾病之一,临床表现为 知觉、思维、情感和行为等多方面的障碍,严重影响 患者的生活。 我国1998年发表的七省流调数据显 示该病在我国的终生患病率为6. 55‰,天津市在 2012年完成了精神疾病的流调工作,最新的统计数 字为精神分裂症终生患病率7‰。 目前对于精神 分裂症的病因并不清楚,治疗存在困难,据报道约有 20%的患者长期存在精神症状,80%的患者由于认 知功能受损或者被歧视而无法获得工作,给家庭 和社会造成了沉重的负担。 认知受损症状是精神分裂症的核心症状之一, 存在于疾病各期,包括前驱期、急性期以及缓解期, 是患者的原发性损害,对于患者的功能康复和社会 回归具有重要意义,有研究表明认知受损越重,患 者的功能结局越差。 提高精神分裂症患者的认知 功能是使患者功能恢复的重要突破点,然而目前对 认知受损的机制并不清楚,尚无药物被批准于治疗 精神分裂症认知受损症状,本文就多巴胺受体在精 神分裂症患者认知受损的作用研究进展做一简要综 述,供临床参考。 1 认知概述 认知功能涉及多个领域,临床常用量表作为 评测的工具。 美国国立精神卫生研究院 2003年 启动了改善精神分裂症认知功能的测量与治疗研 究 (Measurement and Treatment Research to Improve Congnition in Schizophrenia,MATRICS)工 作,经 由 此研究项目专家共识,编制了精神分裂症认知评 测的成套测验 (the MATRICS Consensuns Cognitive Battery,MCCB)。 MMCB作为目前主要针对精神分裂 症认知功能的评测工具,应用广泛,美国食品药品 监督管理局 (FDA)批准将其用于评价治疗精神分裂 症患者认知缺陷新药的临床疗效。 MCCB从90多个 认知测验中选定了10个分测验,几乎涵盖了所有的 认知领域,包括7个部分,分别是信息处理速度,词 语学习,工作记忆,推理和问题解决,视觉学习,社 会认知以及注意 /警觉性。 国内的MCCB版本包 涵9个分测验,由于文化差异,剔除了字母数字广度 测验,由国内于欣教授团队建立了中国常模,进行了 信效度测试 。 有研究显示精神分裂症患者在上述 7个领域均存在不同程度的受损,其中最具鉴别性的 两个方面为信息处理速度和社会认知,这两个认 知领域与多巴胺系统关联较强,下文将重点讨论。 2 多巴胺与认知 2.1 多巴胺及其受体 多巴胺 (Dopamine,DA)是 重要的中枢神经递质之一,主要起源于中脑的黑质 和腹侧被盖区,投射到前额叶皮质、基底前脑、纹状 体及伏隔核等多个脑区,DA神经递质传递与运动、 愉快、奖赏感受、认知和精神病性症状等多个功能 有关。 目前发现DA有 5种受体亚型,均为G蛋 白耦联受体,分别是多巴胺受体1(D1R)、多巴胺受 体 2(D2R)、多巴胺受体 3(D3R)、多巴胺受体 4(D4R) 和多巴胺受体 5(D5R)。 其中D1R和D5R为D1样受 体,与DA结合后增加细胞内的环磷酸腺苷 (cAMP) 水平,D2R、D3R、D4R为D2样受体,与DA结合后降 低cAMP水平 ,不同的受体介导不同的生理功能。 精神分裂症的DA假说认为患者存在中脑边缘通路 的DA功能亢进和前额叶的DA功能降低,近期 作者单位:300222 天津市安定医院 通讯作者:李美娟 Email:meijuanli82@163.com ·综述·
Poster: Precise Dynamic Dataflow Tracking with Proximal Gradients

Dataflow analysis is a fundamental technique in the development of secure software. It has multiple security applications in detecting attacks, searching for vulnerabilities, and identifying privacy violations. Taint tracking is a type of dataflow analysis is that tracks dataflow between a set of specified sources and sinks. However, taint tracking suffers from high false positives/negatives due to fundamentally imprecise propogation rules, which limits its utility in real world applications. We introduce a novel form of dynamic dataflow analysis, called proximal gradient analysis (PGA), that not only provides much more precise dataflow information than taint tracking, but also more fine grained information dataflow behavior in the form of a gradient. PGA uses proximal gradients to estimate derivatives on program operations that are not numerically differentiable, making it possible to propogate gradient estimates through a program in the same way taint tracking propogates labels. By using gradient to track dataflows, PGA naturally avoids many of the propogation errors that occur in taint tracking. We evaluate PGA on 7 widely used programs and show it achieves up to 39% better precision that than taint while incurring lower average overhead due to the increased precision.
Load Balancing for Hybrid LiFi and WiFi Networks: To Tackle User Mobility and Light-Path Blockage

Combining the high-speed data transmission of light fidelity (LiFi) and the ubiquitous coverage of wireless fidelity (WiFi), hybrid LiFi and WiFi networks (HLWNets) are recently proposed to improve the system capacity of indoor wireless communications. Meanwhile, load balancing becomes a challenging issue due to a complete overlap between the coverage areas of LiFi and WiFi. User mobility and light-path blockages further complicate the process of load balancing, since the decision for a horizontal or a vertical handover in a mobile environment with ultra-small cells is non-trivial. These issues are managed separately in most conventional methods, which might cause frequent handovers and compromise throughput. A few studies address these issues jointly for selecting access points at each time instant but require excessive computational complexity. In this paper, a joint optimisation problem is formulated to determine a network-level selection for each user over a period of time. A novel algorithm based on fuzzy logic is also proposed to reduce the computational complexity that is required to solve the optimisation problem. Results show that compared to the conventional method, the proposed approach can improve system throughput by up to 68%, while achieving very low computational complexity.
Medication Use among Pregnant Women from the 2015 Pelotas (Brazil) Birth Cohort Study

Background: Medication use during pregnancy is a common practice that has been increasing in recent years. The aim of this study is to describe medication use among pregnant women from the 2015 Pelotas (Brazil) Birth Cohort Study. Methods: This paper relies on a population-based cohort study including 4270 women. Participants completed a questionnaire about the antenatal period, including information about medication use. We performed descriptive analyses of the sample and the medications used and adjusted analyses for the use of medications and self-medication. Results: The prevalence of medication use was 92.5% (95% CI 91.7–93.3), excluding iron salts, folic acid, vitamins, and other minerals. The prevalence of self-medication was 27.7% (95% CI 26.3–29.1). In the adjusted analysis, women who had three or more health problems during pregnancy demonstrated higher use of medicines. Self-medication was higher in lower income groups and among smokers and multiparous women (three pregnancies or more). Acetaminophen, scopolamine, and dimenhydrinate were the medications most commonly used. Conclusions: This study describes the pattern of drug use among pregnant women in a population-based cohort study, with a high prevalence of self-medication. Greater awareness of the risks of self-medication during pregnancy is required, focusing on groups more prone to this practice, as well as ensuring qualified multidisciplinary prenatal care.