Miracle-dz/UniFAR-FTUs huggingface dataset:
An Electronic Court in the Perspective Criminal Law Reform

The Corona Virus Disease-2019 (Covid-19) pandemic that hit Indonesia and the world demands changes in behavior and habits in life. The education, economic, social, and even legal sectors are affected to immediately implement new patterns in carrying out their activities. Including in the court process which was originally conducted face to face or presenting all parties in the same room, efforts must be made to implement a new pattern to minimize the spread of Covid-19. The electronic court has emerged as a new concept in the examination of criminal cases. With the pattern of examinations carried out in separate rooms that are connected through the media with information technology facilities, whose implementation mechanism is regulated by taking into account the principles of criminal procedural law, it is hoped that it can fulfill a sense of justice for litigants. In this study, we will examine how an electronic court can create a modern criminal justice system following the concept of reforming the national criminal law. This research is normative legal research using a conceptual approach and legislation. From this research, it can be seen that the electronic court is not appropriate if it is said to be a momentary reaction due to the pandemic but is a challenge of globalization for the future of Indonesian criminal law where criminal law reform must always be responsive to the development of science and technology to increase the effectiveness of its functions in society, namely law enforcement.
Hybrid password meters for more secure passwords – a comprehensive study of password meters including nudges and password information

ABSTRACT Supporting users with secure password creation is a well-explored yet unresolved research topic. A promising intervention is the password meter, i.e. providing feedback on the user's password strength as and when it is created. However, findings related to the password meter's effectiveness are varied. An extensive literature review revealed that, besides password feedback, effective password meters often include: (a) feedback nudges to encourage stronger passwords choices and (b) additional guidance. A between-subjects study was carried out with 645 participants to test nine variations of password meters with different types of feedback nudges exploiting various heuristics and norms. This study explored differences in resulting passwords: (1) actual strength, (2) memorability, and (3) user perceptions. The study revealed that password feedback, in combination with a feedback nudge and additional guidance, labelled a hybrid password meter, was generally more efficacious than either intervention on its own, on all three metrics. Yet, the type of feedback nudge targeting either the person, the password creation task, or the social context, did not seem to matter much. The meters were nearly equally efficacious. Future work should explore the long-term effects of hybrid password meters in real-life settings to confirm the external validity of these findings.
Prediction Model for Health-Related Fitness Status Using Discriminant Analysis

Physical fitness represents the well-being of an individual and figures in measuring individual daily activities. This research aims to differentiate the physiological variables in distinguishing man fitness status without physical tests. The subjects of the examination amounted to 60 men aged 17-23 years old. The physiological parameters were age, weight, height, resting heart rate, blood glucose level, blood pressure, and VO2max, a bio-motoric component, measured by cooper protocol, running for 2.4 km. Subsequently, seven physiological and bio-motoric segments were analyzed using discriminant analysis. The result showed that resting heart rate and weight are strongly correlated with individual fitness. Discriminant analysis applying a stepwise method demonstrated that resting heart rate and weight were included in the fitness component formula. Furthermore, discriminant analysis results prove that 59.57 (98.3%) discriminant formulas can distinguish male fitness status. Fitness is an essential indicator in monitoring health. Concerning this, it is imperative to increase public awareness to regularly monitor their health status by assessing fitness status without having to do a physical test.
Is Early Bilingualism an Advantage for Children’s Development Under Age 12?

Recently, learning more than one language becomes more and more prevalent worldwide. Therefore, people questioned whether dual language development is beneficial or not and what is the best age to start learning a second language. Previous studies have found that there is a critical age for language acquisition around age 12. Thus, this paper is going to answer the question that whether early bilingualism is an advantage for children’s development under age 12. In the review of the empirical data from the literature on comparisons between early bilingual and monolingual children’s both cognitive and linguistic development. It was found that learn a second language help improve some components of executive control system, whereas there is no significant difference between early bilinguals and monolinguals’ language abilities before early adolescence. Generally, the earlier children learn a second language the more exposure and proficiency they will have for both languages. Thus, better cognitive performance they will have later in life. However, those evidence lacks power and controls over confounding variables such as SES and cultural differences, which may be the alternative explanation for those facilitative responses.
The Advances of Eating Disorders in Adolescent

This study is a review of a selection of the literature on eating disorders. This study, focusing on anorexia nervosa, includes its prevalence, etiology, impacts, treatments, and recommendations for future development. This study also explores the performance of family therapy for anorexia nervosa in adolescents. The results and discussion section presents the possible causes of eating disorders, such as anorexia nervosa, from biological and social perspectives. The current study also articulates the impact of anorexia nervosas on individuals, social relationships, and social, emotional functioning. Recommendations in the conclusion section provide directions for future research. Overall, the audience will be able to acquire some general knowledge about eating disorders and learn about the efficacy of family therapy with eating disorders.
Inhibition of Ceramide Glycosylation Enhances Cisplatin Sensitivity in Cholangiocarcinoma by Limiting the Activation of the ERK Signaling Pathway

Cholangiocarcinoma (CCA) is an aggressive tumor of the biliary epithelium with poor survival that shows limited response to conventional chemotherapy. Increased expression of glucosylceramide synthase (GCS) contributes to drug resistance and the progression of various cancers; the expression profiles of GCS (UGCG) and the genes for glucocerebrosidases 1, 2, and 3 (GBA1, GBA2, and GBA3) were therefore studied in CCA. The biological functions of GCS for cell proliferation and cisplatin sensitivity in CCA were explored. GCS expression was higher in CCA tumor tissues than that of GBA1, GBA2, and GBA3. Verification of GCS expression in 29 paired frozen CCA tissues showed that 8 of 29 cases (27.6%) had high GCS expression. The expression of GCS and GBA2 was induced in CCA cell lines following low-dose cisplatin treatment. Suppression of GCS by either palmitoylamino-3-morpholino-1-propanol (PPMP), GCS knockdown or a combination of the two resulted in reduced cell proliferation. These treatments enhanced the effect of cisplatin-induced CCA cell death, increased the expression of apoptotic proteins and reduced phosphorylation of ERK upon cisplatin treatment. Taken together, inhibition of the GCS increased cisplatin-induced CCA apoptosis via the inhibition of the ERK signaling pathway. Thus, targeting GCS might be a strategy for CCA treatment.
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation

Graph-based recommendation systems are blossoming recently, which models user-item interactions as a user-item graph and utilizes graph neural networks (GNNs) to learn the embeddings for users and items. A fundamental challenge of graph-based recommendation is that there only exists observed positive user-item pairs in the user-item graph. Negative sampling is a vital technique to solve the one-class problem and is widely used in many recommendation methods. However, the previous works only focus on the design of negative sampling distribution but ignore the sampled region for negative sampling. In this work, we propose <italic>the Three-Region Principle</italic> to guide negative sampling, which suggests that we should negatively sample more items at an intermediate region and less adjacent and distant items. In light of this principle, we present the RecNS method, which is a general negative sampling method designed with two sampling strategies: positive-assisted sampling and exposure-augmented sampling. Instead of sampling existing negative items from graph data, we merge these two strategies in embedding space to generate negative item embeddings. Extensive experiments demonstrate that RecNS method significantly outperforms all negative sampling baselines, e.g., <inline-formula><tex-math notation="LaTeX">$10.47\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>10</mml:mn><mml:mo>. </mml:mo><mml:mn>47</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="yang-ieq1-3155155.gif"/></alternatives></inline-formula> for PinSage, <inline-formula><tex-math notation="LaTeX">$6.02\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>6</mml:mn><mml:mo>. </mml:mo><mml:mn>02</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="yang-ieq2-3155155.gif"/></alternatives></inline-formula> for NGCF, and <inline-formula><tex-math notation="LaTeX">$8.20\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>8</mml:mn><mml:mo>. </mml:mo><mml:mn>20</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="yang-ieq3-3155155.gif"/></alternatives></inline-formula> for LightGCN in terms of Recall@20 on the Alibaba dataset.
Cooperative Linear Combining on Quantize-Forward Relay Channel With $M$-Ary Phase Shift Keying

This work considers quantize–forward (QF) relay channels with <inline-formula><tex-math notation="LaTeX">$M$</tex-math></inline-formula>-ary phase shift keying at the source and <inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-formula>-bit uniform phase quantization at the relay. A cooperative linear combining (CLC) detection which linearly combines the received signals at the destination is proposed in the QF relay channel by deriving an equivalent signal-to-noise ratio for the source-relay-destination link. Furthermore, the proposed detection is simplified by approximating <inline-formula><tex-math notation="LaTeX">$Q$</tex-math></inline-formula> function in two directions: small <inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-formula> and large <inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-formula>. The CLC detection and its simplified version are also extended to multi-relay channels. Simulation results verify that the CLC and simplified CLC detections achieve reasonable performance with less complexity than the maximum-likelihood detection. It demonstrates that applying <inline-formula><tex-math notation="LaTeX">$(\log _{2} M+2)$</tex-math></inline-formula>-bit uniform phase quantization at the relay and the simplified CLC detection at the destination can be an appropriate choice in terms of performance, complexity, and memory.
Nationality of Victims Will Not Influence Participants’ Risk Preference

The human brain does not always function rationally. The classical framing effect suggests people have different risk preferences regarding how the situation is framed. Some research suggests nationality will influence decision-making. This study explores whether people will change their risk preferences when questions are framed differently and set in different national contexts. An online between-subject-design experiment among 224 Chinese grownups was conducted, using a modified version of “Asian Disease Problem”. The independent variables of this study were the nationalities in each question and negative or positive framings of the question, while the dependent variable was the participants’ risk preference. The results showed that framing has a significant main effect. Nationality was not found a significant main effect, but the main effect of framing remains significant in each nationality setting. This study revealed that people had different risk preferences depending on the framings of the question. Participants were inclined to choose the riskseeking option. At the same time, the question was framed negatively but not showed a salient preference for riskseeking or risk-aversive options in positive framing. However, participants were not influenced by which nationality the question was set in. Further research containing the priming of nationality before the framing question is needed to examine the exact relationship between nationality and the framing. fMRI studies of which parts of the brain are active during participants' decision-making might also help to provide deeper understandings of the neuropsychological rationales of their choices.
BARLEY BRAN, A NOVEL AGRICULTURAL WASTE FOR THE IMPROVED PRODUCTION OF AN EXTRACELLULAR LACCASE FROM A SOIL-INHABITED Penicillium spp.

Laccases are useful for bioleaching and removal of phenolics and xenobiotics. They play an important role in food, paper, pulp and textile industry. Laccases are very interesting biocatalysts for several industrial applications. The present research work was concerned with the production of an extracellular laccase from Penicillium spp. isolate IIB-11 on barley bran using solid state fermentation (SSF). The enzyme has various industrial applications such as in pulp and paper industry, textile industry, organic synthesis, bioremediation, food industry, pharmaceuticals and nano-biotechnology. Isolation of Penicillium was carried out from soil samples. The highest production (2.94 Ug-1) was observed by Penicillium spp. isolate IIB-11. Different parameters were undertaken for optimization conditions. The highest enzyme activity (36.29 Ug-1) from Penicillium spp. IIB-11 was observed using 50 g barley bran, 75 ml of HCl (0.1 N), pH 1.5, 30°C temperature, 44 h time of incubation and 4 % inoculum size. The enzyme activity was checked with copper sulphate and riboflavin. Maximum enzyme activity (41.36 Ug-1) was obtained when 0.03 % copper sulphate was used. The enzyme activity was also observed (43.04 Ug-1) with riboflavin. Barley bran showed significant production of laccase (p<0.05) with optimal conditions of the temperature, pH, moisture content, HCl (0.1 N) as a moistening agent and age of fungus. However, there is a need of further work on biochemical characterization and enzyme stability to scale up studies.
Study on the Dielectric Property of Nano-inorganic-polyimide Composite Films

The characteristics of permittivity and dissipation factor and conduction current of nano Al2O3-polyimide composite film and nano SiO2-polyimide composite film were measured.Experiment results showed that the permittivity and dissipation factor of the two kinds of composite films increase and the electrical ageing threshold decrease with increasing of nano inorganic content,the permittivity and dissipation factor of nano Al2O3-polyimide composite film are larger than that of nano SiO2-polyimide composite film and the electrical ageing threshold of the former is smaller than that of the latter.
A Blind Source Separation Method Using Denoising Strategy Based on ICEEMDAN and Improved Wavelet Threshold

Traditional blind source separation (BSS) methods often want no additional noise effects. But in practice, noise is ubiquitous, and there are even cases with low signal-to-noise ratios (SNR). Unfortunately, these blind source separation methods have a significant impact on system performance in the presence of noise. This study proposes a blind source separation method to eliminate noise and extract signal information to the maximum extent. The method is based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and improved wavelet threshold (IWT) hierarchical decomposition to improve the signal separation effect. First, the signal is decomposed via ICEEMDAN to obtain the noise-dominated and information-dominated intrinsic mode function (IMF) components. Then, the noise-dominated IMF components are again decomposed by ICEEMDAN, and each component’s scale function is obtained via detrended fluctuation analysis (DFA). Next, the noise-dominated IMF components generated in the second decomposition round undergo an improved wavelet threshold denoising to obtain useful signal information. Finally, the information-dominated IMF components generated in the two rounds of decomposition and the resulting signal of wavelet denoising yield a reconstructed signal, which is then decomposed using the BSS algorithm to obtain the source signal. The experimental results demonstrate that the proposed method can accurately extract signal information and can better separate the source signal than the existing algorithm.
The Proteome of Antibody-Mediated Rejection: From Glomerulitis to Transplant Glomerulopathy

Antibody-mediated rejection (ABMR) is the leading cause of allograft failure in kidney transplantation. Its histological hallmark is represented by lesions of glomerulitis i.e., inflammatory cells within glomeruli. Current therapies for ABMR fail to prevent chronic allograft damage i.e., transplant glomerulopathy, leading to allograft loss. We used laser microdissection of glomeruli from formalin-fixed allograft biopsies combined with mass spectrometry-based proteomics to describe the proteome modification of 11 active and 10 chronic active ABMR cases compared to 8 stable graft controls. Of 1335 detected proteins, 77 were deregulated in glomerulitis compared to stable grafts, particularly involved in cellular stress mediated by interferons type I and II, leukocyte activation and microcirculation remodeling. Three proteins extracted from this protein profile, TYMP, WARS1 and GBP1, showed a consistent overexpression by immunohistochemistry in glomerular endothelial cells that may represent relevant markers of endothelial stress during active ABMR. In transplant glomerulopathy, 137 proteins were deregulated, which favor a complement-mediated mechanism, wound healing processes through coagulation activation and ultimately a remodeling of the glomerular extracellular matrix, as observed by light microscopy. This study brings novel information on glomerular proteomics of ABMR in kidney transplantation, and highlights potential targets of diagnostic and therapeutic interest.
Fabrication and thermoelectrical characterization of three‐dimensional nanowire networks

Three‐dimensional (3D) assemblies of nanostructures are gaining more and more attention during the recent years as promising systems to increase the integration density in microelectronic devices. Here we present the fabrication of large areas of 3D nanowire networks (NWNWs) of antimony for thermoelectric applications by electrodeposition in etched ion‐track membranes. The synthesis parameters have been investigated and optimized to achieve mechanically stable and free‐standing NWNWs without a supporting matrix. A cross‐plane method for the complete steady state thermoelectric characterization of an embedded nanowire assembly (NWA) is also introduced, which enables the measurements of Seebeck‐coefficient, cross‐plane thermal conductivity, and electrical resistance of the NWA, and can also be applied to thin films. First results of the thermoelectric properties of Sb NWA are presented.
Deciphering the Association among Pathogenicity, Production and Polymorphisms of Capsule/Melanin in Clinical Isolates of Cryptococcus neoformans var. grubii VNI

Background: Cryptococcus neoformans is an opportunistic fungal pathogen that can cause meningitis in immunocompromised individuals. The objective of this work was to study the relationship between the phenotypes and genotypes of isolates of clinical origin from different cities in Colombia. Methods: Genome classification of 29 clinical isolates of C. neoformans var. grubii was performed using multilocus sequence typing (MLST), and genomic sequencing was used to genotype protein-coding genes. Pathogenicity was assessed in a larval model, and melanin production and capsule size were evaluated in vitro and in vivo. Results: Eleven MLST sequence types (STs) were found, the most frequent being ST69 (n = 9), ST2, ST93, and ST377 (each with n = 4). In the 29 isolates, different levels of pigmentation, capsule size and pathogenicity were observed. Isolates classified as highly pathogenic showed a tendency to exhibit larger increases in capsule size. In the analysis of polymorphisms, 48 non-synonymous variants located in the predicted functional domains of 39 genes were found to be associated with capsule size change, melanin, or pathogenicity. Conclusions: No clear patterns were found in the analysis of the phenotype and genotype of Cryptococcus. However, the data suggest that the increase in capsule size is a key variable for the differentiation of pathogenic isolates, regardless of the method used for its induction.
Effects of supplemented Sauropus androgynus leaves powder on reproductive traits of Indonesian indigenous hens

The aim of this study was to analyze of Sauropus androgynus (SA) leaves powder supplementation on kampung hens reproductive traits. Forty kampung hens aged 4-5 months were distributed randomly into 4 treatments with 10 replications. A completely randomized design (CRD) was used as research design. Samples were placed in individual postal-litter system cages. The four groups were fed diets supplemented with 0, 4, 8, and 12% SA leaves powder for 8 weeks, respectively. The supplementation of SA leaves powder affected serum steroid hormone progesterone (P4) metabolite (P < 0.05), serum steroid hormone estradiol-17β (E2) metabolite concentration and a number of medium follicles yield significantly (P < 0.01). Concentration levels of serum steroid hormone E2 and P4 metabolites were 1 to 5-fold and 2 to 14-fold higher in supplemented hens than non-supplemented, respectively. In conclusion, supplementation of SA leaves increased serum steroid hormone E2 and P4 metabolite concentration, number, and weight of follicles. The role of precursor contained in SA leaves powder detected on Indonesia kampung hen’s reproductive traits.