Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Social Support for Improving Kangaroo Mother Care Practice among Low Birth Weight Infants’ Mothers in North Jakarta

: Kangaroo Mother Care (KMC) is a skin-to-skin contact between mother and newborn, frequent or exclusive breastfeeding, and early discharge from the hospital. Social support is crucial for improving KMC practice among Low Birth Weight Infants (LBWI)’s mothers after discharge from hospital. The objective of this study was to assess the relationship between social support and KMC practice among LBWI’s mothers. This research was a cross-sectional approach implemented in three village in North Jakarta that are Cilincing, Koja, and Tanjung Priok. The respondents in this study were 50 LBWI’s mothers post-discharged from Koja Hospital, North Jakarta. The sample was selected by consecutive sampling. The data were collected by questionnaire and interview. Mann-Whitney U-test was used to analyzed the data. The average age of respondents was 31 years old, the average of parity was 2 children, most of the respondents had a low level of education (64%), all were didn’t work, and 56% of their home was close to health facility. The average duration of KMC practice was 3 hours per day. This study found that social support consisting of family support (z=-2,54, p value<0,05, CI 95%) and community health workers support (z=-2.70, p value<0,05, CI 95%) had significant relationship with practice of KMC among LBWI’s mothers. The family support were in the form of replacing mother to do KMC, helps to tie KMC clothes, assist in carrying out household chores and the community health workers support were in the form of provide education about KMC, reminding mothers to practice KMC, and correcting the KMC practice. Information and education to the family and community members are required continuously in order to support LBWI’s mothers improving KMC practice.
Compulsive Use Of Smartphone and its Effect on Engaged Learning and Nomophobia

The usage of Smartphone has been a 21st century phenomenon that attracts young generation for their usefulness and different functions. To fulfill these needs, this paper has two objectives. This study looks into the pattern of Smartphone usage among post graduate students of Management in India. Secondly, it examines the effect of compulsive Smartphone usage on engaged learning and perceived effect and implications of Smartphone on nomophobia among students. The result shows that the compulsive use of Smartphone has a significant effect on nomophobia whereas the study failed to establish any significant relationship between compulsive use and engaged learning.
Patients views on which return-to-work outcomes should be prioritised: A nominal group technique focus group

Objective Injuries can have a long-lasting effect on ability to return to work, but there is little research on which outcomes are most important to patients. This study aims to identify and prioritise return-to-work outcomes important to patients for evaluating vocational rehabilitation interventions. Methods Nominal group technique focus group with trauma patients. Results Focus group participants (n = 6) included mostly traumatic brain injuries, a range of occupation types, ages and both genders. Participants identified and prioritised their eight most important outcomes which were: sense of purpose and life satisfaction, understanding the impact of injury, assessment of readiness to return to work, using SMART (specific, measurable, achievable, relevant and time-bound) goals, facilitated reintegration to work, assessing capacity to return to work, collaboration between key stakeholders and improved employer and employee knowledge. Many of these were measures of the process of, rather than change outcomes of vocational rehabilitation. Conclusions The range of outcomes identified by trauma patients highlights the complex process of return to work and the need for vocational rehabilitation evaluations to incorporate a broader range of outcomes. Measures of the process of vocational rehabilitation are also important to trauma patients and should be included in such evaluations.
The Emerging Threat of Ai-driven Cyber Attacks: A Review

ABSTRACT Cyberattacks are becoming more sophisticated and ubiquitous. Cybercriminals are inevitably adopting Artificial Intelligence (AI) techniques to evade the cyberspace and cause greater damages without being noticed. Researchers in cybersecurity domain have not researched the concept behind AI-powered cyberattacks enough to understand the level of sophistication this type of attack possesses. This paper aims to investigate the emerging threat of AI-powered cyberattacks and provide insights into malicious used of AI in cyberattacks. The study was performed through a three-step process by selecting only articles based on quality, exclusion, and inclusion criteria that focus on AI-driven cyberattacks. Searches in ACM, arXiv Blackhat, Scopus, Springer, MDPI, IEEE Xplore and other sources were executed to retrieve relevant articles. Out of the 936 papers that met our search criteria, a total of 46 articles were finally selected for this study. The result shows that 56% of the AI-Driven cyberattack technique identified was demonstrated in the access and penetration phase, 12% was demonstrated in exploitation, and command and control phase, respectively; 11% was demonstrated in the reconnaissance phase; 9% was demonstrated in the delivery phase of the cybersecurity kill chain. The findings in this study shows that existing cyber defence infrastructures will become inadequate to address the increasing speed, and complex decision logic of AI-driven attacks. Hence, organizations need to invest in AI cybersecurity infrastructures to combat these emerging threats.
Frailty Syndrome—Fall Risk and Rehabilitation Management Aided by Virtual Reality (VR) Technology Solutions: A Narrative Review of the Current Literature

Frailty, a physiological syndrome (FS) affecting primarily the older adults, manifests itself through significantly depleted bodily reserves, and appreciably higher (up to over threefold) individual exposure to fall risk. Concomitant medical conditions such as balance impairment, reduced visual acuity, limited mobility, and significantly diminished daily functional performance further exacerbate the patients’ condition. Their resultant susceptibility to frequent hospitalisations makes their prognosis even worse. This narrative review aimed to provide an overview of published studies focused on rehabilitation management approaches aided by virtual reality (VR) technology in frail older adults. The authors had it also augmented with their own, evidence-based body of experience in rehabilitation. Making use of technologically advanced exercise machinery, specially adapted for rehabilitating frail older adults, combined with a structured exercise regimen, further aided by the application of select virtual reality (VR) technology solutions, clearly proved effective. Consequently, the patients were helped to move back from the frail to the pre-frail stage, as well as had their motor and cognitive functions appreciably enhanced. The application of modern technology in rehabilitating older adults over 65, affected by FS, when specifically aided by the select VR technology solutions, was also proven to complement successfully the conventional rehabilitation management. The overall versatility of the VR technology solutions, e.g., adaptation for home use allowing remote supervision, also makes this novel approach to rehabilitation far more appealing to the patients. They find it both very attractive and far more mentally engaging. Its considerable potential lies mostly in being appreciably more effective in bringing in desirable therapeutic outcomes.
Fabrication of Er:YAG/Yb:YAG nanopowder-derived Er:Yb co-doped silica fibers from UV–curable composites and their application in 1550-nm fiber lasers

Er/Yb co-doped YAG nanopowders-derived silica fibers (YNDSFs) are fabricated from UV-curable composites and achieve 1550-nm laser generation with active fiber length of 1 cm. The UV-curable nanocomposites are consisted of 40 wt% home-made Er:YAG/Yb:YAG nanopowders and 60 wt% polymer resins. The Er:YAG/Yb:YAG nanopowders are fabricated by coprecipitation method with diameters in the range of 25 - 165 nm. An Er:YAG/Yb:YAG–polymer hybrid core rod was polymerized using high power UV-lamps, and was drawn to Er/Yb co-doped fiber in silica cladding by melting-in-tube method after debound process to remove organics. The absorption coefficients of the Er/Yb co-doped fiber were measured to be 17 dB cm-1 and 3.2 dB cm-1 at 976 nm and 1530 nm, respectively. The background loss was 0.05 dB cm-1 at 1200 nm. A linear fiber laser cavity was constructed with different length of Er/Yb co-doped fiber and a pair of FBGs (reflectivity: 99 % and 94 %) to quantify the laser performance. The maximum output powers were 7.5 mW and 1.5 mW with active fiber length of 6 cm and 1 cm, respectively. This scheme is expected to be an effective approach for obtaining Er:Yb co-doped fiber with high pump absorption for the generation of 1550-nm single-frequency fiber lasers.
Bi-directional Dual Active Bridge Converter applying variable switching frequency for low battery charger

This paper proposed an optimized design of a dual active bridge converter for a low-voltage charger. The dual active bridge converter among various bi-directional DC/DC converters is a high-efficiency isolated bi-directional converter. In the general design, when the battery voltage is high, the ZVS region is reduced. In contrast, when the battery voltage is low, the efficiency is low due to high conduction loss. In order to increase the ZVS region and the power conversion efficiency, depending on the battery voltage, variable switching frequency method is applied. At the same duty, the same power is obtained regardless of the battery voltage using the variable switching frequency method. The proposed method was applied to a 5kW prototype converter, and the experimental results were analyzed and verified.
Terabit sampling system with photonic time-stretch analog-to-digital converter

The detection of rapid dynamics in diverse physical systems is traditionally very difficult and strongly dominated by several noise contributions. Laser mode-locking, electron bunches in accelerators and optical-triggered phases in materials are events that carry important information about the system from which they emerge. To understand the underlying dynamics of complex systems often large numbers of single-shot measurements must be acquired continuously over a long time with extremely high temporal resolution. Ultrafast real-time instruments allow the acquisition of large data sets, even for rare events, in a relatively short time period. The real-time measurement of fast single-shot events with large record lengths is one of the most challenging problems in the fields of instrumentation and measurement. In this contribution, the novel ultra-fast and continuous data sampling system THERESA using photonic time-stretch is presented and its performance is discussed. The proposed data acquisition system is based on the latest ZYNQ Radio Frequency System on Chip (ZYNQ-RFSoC) family from Xilinx, which combines an array of fast (GS/s) multi-channel Analog-to-Digital Converters (ADCs) with a Field Programmable Gate Array (FPGA) and a multi-core ARM processor in a single heterogeneous programmable device. The stretched pulse is sampled in parallel by 16 wideband sampling channels operating in time-interleaving mode. The sampled data is transferred by a 100 Gb Ethernet data link to the Data Acquisition (DAQ) compute node for further analysis. The combination of both, the photonic time-stretch and the fast sampling system, is capable of sampling short pulses with femtosecond time resolution. Applications of the new system, hardware implementation and the commissioning of the first system for the electron bunch diagnostics are presented.
Investigation of the sensitization rate for gibberellin-regulated protein in patients with Japanese cedar pollinosis.

BACKGROUND Pollen-food allergy syndrome (PFAS) usually manifests as an itching sensation in the mouth and throat immediately after eating fresh fruits and vegetables. However, some patients with PFAS experience systemic symptoms including anaphylaxis. In Europe, cypress gibberellin-regulated protein (GRP) has been noted to cause allergenicity and exhibit cross-reactivity with peach GRP. Japanese cedar (Cryptomeria japonica), classified in the cypress family, is the primary causative substance among all environmental allergens in Japan. However, studies on the prevalence of GRP sensitization in patients with cedar pollinosis are lacking. OBJECTIVE This study examined the prevalence of GRP sensitization in patients with Japanese cedar pollinosis. METHODS We enrolled 52 patients who had requested sublingual immunotherapy treatment with mild-to-severe rhinitis during spring, and had a JCP-specific immunoglobulin E (IgE) levels of >0.7 UA/mL. Peach GRP was purified using affinity chromatography with a monoclonal antibody column. Specific IgE levels to peach GRP were measured using an enzyme-linked immunosorbent assay. Samples exhibiting absorbance at 450 nm of over mean plus three standard deviations of the negative control value were defined as positive. Sera from three patients with severe peach allergy were used as positive controls. RESULTS Eleven sera from 52 patients with JCP-induced allergic rhinitis were positive for peach GRP. CONCLUSION Twenty percent of patients with cedar pollinosis were sensitized to peach GRP. Well-powered studies are needed to clarify whether these patients are at an increased risk for systemic symptoms or whether they primarily demonstrate only localized symptoms.
A Survey to Identify the Current Management of Cow’s Milk Disorders and the Role of Goat Milk-Based Formulas in the Middle East and North Africa Region

Background: Cow’s milk allergy (CMA) and cow’s milk intolerance (CMI) are the major cow’s milk disorders observed in infants and young children. This study investigates, for the first time, physician knowledge regarding CMA and CMI prevalence, diagnosis, and management in the Middle East and North Africa (MENA) region. In addition, we explore the role of goat milk-based formula as an alternative in infants suffering from CMI. Method: This cross-sectional survey was conducted from December 2020 to February 2021. A convenience sample of 2500 MENA-based physicians received the questionnaire, developed by a working group of pediatric experts. Results: 1868 physicians completed the questionnaire, including pediatric specialists (80.8%), training physicians (0.2%), dermatologists (0.1%), family/general physicians (12.9%), neonatologists (3.6%), neurosurgeons (0.2%), allergy nurse specialists (0.3%), pharmacists (2.1%), and public health workers (0.1%). Differentiation between CMA and CMI was recognized by the majority of respondents (80.7%), for which the majority of respondents (35.4%) identified that the elimination and challenge test was the best test to differentiate CMA from CMI, whereas 30.7% and 5.4% preferred the immunoglobulin E (IgE) test and skin prick test, respectively. In addition, 28.5% of respondents reported that there is no confirmatory test to differentiate CMA from CMI. The majority of respondents (47.3%) reported that amino acid-based formula (AAF)/ extensively hydrolyzed formula (EHF) is the cornerstone for the management of CMA. However, most respondents (33.7%) reported that lactose avoidance was best for the management of CMI. Overall, 65% of the respondents were aware of nutritionally adapted goat’s milk formula as an alternative to cow’s milk products and 37% would recommend its routine use in infants (≤2 years of age). Conclusion: The results of this survey demonstrate that the majority of physicians are aware of the underlying pathophysiology and management of CMA and CMI. However, a significant proportion of physicians do not follow the clinical guidelines concerning CMA/CMI diagnosis and management. Notably, this survey identified that goat’s milk formulas may offer a suitable alternative to AAF/EHF in infants with CMI as they contain β-casein protein which is easily digestible. In addition, goat’s milk formulas contain higher levels of oligosaccharides and medium-chained fatty acids compared with standard cow’s milk formulas, yet further clinical trials are warranted to support the inclusion of goat’s milk formulas in clinical guidelines.
Tph2 Gene Expression Defines Ethanol Drinking Behavior in Mice

Indirect evidence supports a link between disrupted serotonin (5-hydroxytryptamine; 5-HT) signaling in the brain and addictive behaviors. However, the effects of hyposerotonergia on ethanol drinking behavior are contradictory. In this study, mice deficient in tryptophan hydroxylase 2 (Tph2−/−), the rate-limiting enzyme of 5-HT synthesis in the brain, were used to assess the role of central 5-HT in alcohol drinking behavior. Life-long 5-HT depletion in these mice led to an increased ethanol consumption in comparison to wild-type animals in a two-bottle choice test. Water consumption was increased in naïve 5-HT-depleted mice. However, exposure of Tph2−/− animals to ethanol resulted in the normalization of water intake to the level of wild-type mice. Tph2 deficiency in mice did not interfere with ethanol-evoked antidepressant response in the forced swim test. Gene expression analysis in wild-type animals revealed no change in Tph2 expression in the brain of mice consuming ethanol compared to control mice drinking water. However, within the alcohol-drinking group, inter-individual differences in chronic ethanol intake correlated with Tph2 transcript levels. Taken together, central 5-HT is an important modulator of drinking behavior in mice but is not required for the antidepressant effects of ethanol.
Enterprise resource planning adoption model for well-informed decision in higher learning institutions

Enterprise resource planning (ERP) has been found to have a key role in the management of higher learning institutions (HLIs) and schools. However, the literature shows no universal model to support and shed light on the adoption of ERP, which lessens the chances for an effective ERP adoption and usage. Therefore, a new model is needed for successful adoption and the eventual enhanced decision-making, and as such, there is a need to investigate the factors that can bring about ERP system adoption. Models for ERP adoption in literature are few and far between, and what few exist are not applicable as they do not cover all the major factors that can contribute to adoption success. Hence, in this article, an ERP adoption model was brought forward for HLIs for the promotion of their decision-making process. The model was developed through the integration of DeLone and McLean’s information success model and the technology, organisation and environment (TOE) theory. The study distributed 500 survey questionnaire copies online and collected 364 from HLIs respondents, after which they were retrieved, and data were analysed through partial least squares structural equation modeling (PLS-SEM) 3 statistical software. On the basis of the obtained analysis findings, technological, organisational and environmental factors had significant and positive effects on ERP adoption, and ERP adoption had a positive and significant effect on the decision-making of HLIs. The entire factors were found to be significant in their effects, and ERP adoption sufficiently explained variance extracted from decision-making. The study contributes to the literature through the pioneering measurement of factors categorised under technological, organisational and environmental dimensions, with ERP adoption and decision-making encapsulated in a single model.
Integrating Indigenous and Scientific Knowledge for Decision Making of Rice Farming in South Sulawesi, Indonesia

Agricultural activities cannot be separated from indigenous knowledge (IK), which has developed and continues to be strongly maintained by Bugis–Makassar farmers in the face of rapidly developing science and technology. The objective of this study was to explore the IK practices in rice cultivation of the Bugis–Makassar farmer community, as well as the process of integrating IK and scientific knowledge into decision making. The study used a number of qualitative methodologies to gather information, including meetings, focus group discussions, in-depth interviews, and semi-structured interviews. Our results show that IK is slowly disappearing and being replaced by middle-aged people and youth, who seem to care more about modernization than assimilation. However, with the existence of Tudang Sipulung, the fading of local wisdom may be inhibited. Tudang Sipulung’s strength lies in the government’s involvement in integrating IK and scientific knowledge into formal forums and agreement. The Tudang Sipulung agreement is formally binding with constitutional sanctions applied. In order to provide optimum benefits, engaging young farmers in the understanding and preservation of indigenous and scientific knowledge is recommended to preserve local culture and transfer modern technology.
Error Control on Mobile Station Sides in Collaborative Multiple-Input Multiple-Output Systems

Collaboration on mobile station (MS) sides considerably improves signal detection performance, especially for multiple-input multiple-output (MIMO) transmission systems. In this study, a novel detector collaboration system is proposed to reduce the traffic volume on inter-MS collaboration links. Multiple MSs in the immediate vicinity are used to collaboratively decode the MIMO signals received from a base station. Furthermore, we consider a distributed detection system, in which multiple detection MSs decode the MIMO signals independently. Multiple decision results are exploited to improve the error performance. Residual interference coefficients were used to finalize the decision results. The error ratio performance and the traffic volume over collaboration wireless links were compared with those of two combining schemes through computer simulations and field experiments. The results revealed that the proposed error control scheme on mobile station sides offers a better tradeoff between the error performance and the traffic volume on the collaboration wireless links.
Additional EIPC Study Analysis. Final Report

Between 2010 and 2012 the Eastern Interconnection Planning Collaborative (EIPC) conducted a major long-term resource and transmission study of the Eastern Interconnection (EI). With guidance from a Stakeholder Steering Committee (SSC) that included representatives from the Eastern Interconnection States Planning Council (EISPC) among others, the project was conducted in two phases. Phase 1 involved a long-term capacity expansion analysis that involved creation of eight major futures plus 72 sensitivities. Three scenarios were selected for more extensive transmission- focused evaluation in Phase 2. Five power flow analyses, nine production cost model runs (including six sensitivities), and three capital cost estimations were developed during this second phase. The results from Phase 1 and 2 provided a wealth of data that could be examined further to address energy-related questions. A list of 14 topics was developed for further analysis. This paper brings together the earlier interim reports of the first 13 topics plus one additional topic into a single final report.