Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Air Pollution in Inflammatory Bowel Disease Flares: A Retrospective Study

INTRODuCTION Inflammatory bowel disease (IBD) defines as chronic and relapsing inflammation of the GI tract with 2 major types of ulcerative colitis (UC) and Crohn's disease (CD)(1). The clinical course of these diseases include attacks of aggravation and flare up interspersed between periods of silence and remission in 80% of cases(2). After the first attack of flare up, 40 to 65% of patients will experience an intermittent and periodic course while 5 to 10% would be Role of Air Pollution in Inflammatory Bowel Disease Flares: A Retrospective Study
MIMO – OFDM CHANNEL ESTIMATION BASED ON A SPARSE RECOVERY-NAMP ALGORITHM

: Due to the influence of the wireless generation environment in the transmission operation, there are different academic degrees of fading and delay, which results in the distortion of the symbols for the MIMO-OFDM system. For purpose of effectively overcoming the interference and distortion, the receiver needs to achieve accurate channel characteristics and also wireless channel has to exhibit sparse characteristics. so accurate and fast channel estimation is the core part of the stable wireless communication system. Therefore, the main disadvantage of existing SAMP algorithm is to obtain sparsity level of the signal and get priori knowledge because of changeable environment. So to increase the accuracy and reduce the time of channel approximation we proposed a new adaptive matching pursuit (NAMP) algorithm. The main aim of this algorithm is to select the atoms with a stable step size and remove the components of small energy by Singular Entropy order determination (SEOD) in the sparse solutions. First, NAMP does not require any priori-knowledge of the sparseness level. Second, to increase the efficiency of signal recovery we have to determine the fixed step size of the signal. Finally our proposed NAMP algorithm provides less computational complexity and achieves more stable performance than the existing SAMP algorithm.
Deep Layer Aggregation with Cross Attention for Lane Detection

As an important part of driverless vehicle research and high-precision map making, lane detection technology needs to be improved urgently. However, it is difficult for current networks to obtain long-distance semantic information, which leads to the confusion of categories in narrow lanes. This paper adds cross attention based on deep layer aggregation to obtain long-distance semantic information, and constructs time series filter to filter in time domain, the method is simple and robust. Our encoder is based on resnet-50. According to the experimental results, slightly changing resnet-50 can achieve better results. Our method is evaluated on Baidu ApolloSpace land segmentation dataset, increases 3.4% relative to DeeplabV3+, and cross attention with time series filter contribute more than 1% mIoU accuracy.
APLIKASI PENGELOLAAN INVENTARIS BARANG DI SMK NEGERI 1 PLAMPANG BERBASIS WEB

Inventory of goods is an activity of recording goods as well as processing data on inventory of goods owned by a school. In educational institutions, school facilities and infrastructure are very important. Facilities and infrastructure are useful to support the implementation of the teaching and learning process, both directly and indirectly in an institution, to achieve educational goals. Good data management will provide great benefits for smoothness and success in the activities of an organization. Research with the title "Application Inventory Management Application at Vocational School 1 Plampang". Problem formulation: How to design and build an Inventory Management Application in SMK Negeri 1 Plampang ? Objective: To design and build an Inventory Management Application in SMK Negeri 1 Plampang. Research Methods: Descriptive with a qualitative approach. The data collection methods used are observation, interviews, and literature. The software development method used in designing the Inventory Management Application at SMK Negeri 1 Plampang is a waterfall. The data sources used are primary data and secondary data. Conclusion: This application can help employees of administration at SMK Negeri 1 Plampang in managing goods data such as fading in the search for data and when making reports.
Conceptual Model for Financial Inclusion Development through Agency Banking in Competitive Markets

This article reports on a study that aimed to identify the important elements of financial inclusion based on a literature review and a case study of agency banking. The study explored and applied literature review findings and utilised a case study approach, notably of three renowned commercial banks in Zimbabwe, to illustrate the importance of financial inclusion through enhanced agency banking in competitive markets. An instrumental case study (cross-sectional) research protocol was employed for the three selected banks. A mixed methods approach was used to collect responses from the respondents in the field which included 10 agency banking department managers, 70 active agency bankers, and 300 active account holders or customers from the three selected banks. The researcher utilised an instrumental case study protocol which showed that the procedure for a standardised approach in carrying out more than one case study (for the three selected banks). The primary data was analysed and interpreted using SPSS, in line with the themes, devised from the research objectives. Structural equation modelling was applied so as to check the causal relationship between variables. It suggests a framework for building and fostering financial inclusion through agency banking. The findings showed that financial inclusion needs to be aligned to the corporate needs and processes to help deliver customer or depositor promises. The level of consistency along financial inclusion through agency banking, targeted towards the customers or depositors is critical to the success of agency banking by any banking or financial institution.
FIRM TECHNOLOGY ADOPTION MODEL (F-TAM) AMONG SME'S: AN INTERACTIVE ECO-SYSTEM PERSPECTIVE

This paper seeks to test the Firm Technology Adoption Model (F-TAM) using data from a developing country context. The data for this current study were purposively collected from four hundred (400) SMEs in the Greater Accra Region of Ghana. We used partial least squares structural equation modeling (PLS-SEM) for our data analysis. Data revealed that, whereas employee factors can lead to firm adoption, firm factors of adoption do not lead to firm adoption if societal factors, characteristics of the innovation, and employee factors do not moderate the relationship between firm factors and firm adoption. Data also reveals that societal factors do not lead to firm adoption if employee factors do not mediate it. The theoretical contribution of this study is that it challenges the dominant idea in most of the earlier models that firm adoption of innovation will be realized, without reference to factors at other levels of adoption. This positioning of the F-TAM model is a significant departure from earlier models. For industry practitioners, these findings illustrate the essence of putting a premium on recruiting technologically savvy employees if the firm intends to adopt digital technologies.
Mathematical Analysis for the Hystereses of a Soft Ferromagnetic Steel by a Modified Rayleigh Model

Minor loops of solubilized and aged samples of maraging-400 steel were measured and mathematically analyzed. The descending and ascending parts of the hysteresis curves obtained for this soft ferromagnetic material were fit with polynomials of varying degree. The fits were successful and the obtained polynomial coefficients revealed that a symmetry operation (S2) transforms the ascending part into the descending part (or vice versa). Based on the particular mathematical relation between the polynomials, an analytical expression for the minor loop area was obtained as a function of the specific maximum applied field. The curves of the minor loop area versus the maximum applied field for every aged sample were shown to be typical for a cumulative distribution function (CDF). The experimental curves were fit using the complementary function of the Hill equation. The fit Hill parameters revealed a systematic dependence on the sample aging conditions.
Large-scale health system transformation in the United Kingdom Implementing the new care models in the NHS Large-scale

Purpose – FollowingpublicationofanewvisionfortheEnglishNationalHealthService(NHS)in2014,known as the NHS Five-Year Forward View, a Vanguard programme was introduced by NHS England charged with the task of designing and delivering a range of new care models (NCMs) aimed at tackling deep-seated problems of a type facing all health systems to a greater or lesser degree. Drawing upon recent theoretical developments on the multilevel nature of context, we explore factors shaping the implementation of five NCM initiatives in the North East of England. Design/methodology/approach – Data collection was based on semi-structured interviews (66 in total) between December 2016 and May 2017 with key informants at each site and a detailed review of Trusts ’ internal documents and policies related to the implementation of each NCM. Our analysis explores factors shaping the implementation of five NCM pilot sites as they touched on the multiple levels of context ranging from the macro policy level to the micro-level setting of workforce redesign. Findings – It is far too early to conclude with any confidence that a successful outcome for the NCM programme will be forthcoming although the NHS Long-Term Plan seeks to build on the earlier vision set out in the Five-Year Forward View. Early indications show some signs of promise, especially where there is evidenceofthegroundhavingbeenpreparedandchangesalreadybeingputinplacepriortotheofficiallaunchofNCMinitiatives.Atthesametimeourfindingsdemonstratethatallfivepilotsitesexperienced,andweresubjectto,unrealisticpressureplaceduponthemtodeliveroutcomes. Originality/value – Ourfindingsdemonstratetheneedforadeeperunderstandingofthemultilevelnatureof process to acquire xxx. has helped us to understand some unintended consequences that we want to repeat around culture, and how during major change cultures collide, and we would
The adolescent peer system and academic engagement

Abstract Peers are central in shaping adolescents’ development across various domains. This research examined patterns of peer system resources and liabilities, and their association with academic adjustment. A person-centred approach, Latent Profile Analysis, was used to classify students into groups based on characteristics of the peer system: friendship quality, group, and general peer relations. Participants were 443 students in their ninth grade year, 14.7 years old on average, and 57% female. Peer system characteristics formed four profiles. The most common profile had high resources and low liabilities; the three other profiles were mixtures of moderate/high resources and low/moderate liabilities. Students with high resources/low liabilities had higher self- and teacher-reported academic engagement and GPA in fall and spring. The three mixed profiles were associated with poorer academic outcomes. These findings underscore the limitations on access to academic success for students negotiating different peer contexts.
Localization, Beacon Placement and Mapping for Range-Based Indoor Localization Systems

Precise time and location are at the core of many Cyber Physical Systems (CPS) applications, as can be seen by the impact of the Global Positioning System. Indoorlocalization systems will enable applications ranging from navigation, asset tracking and secure device interaction to mixed reality experiences and emergency support(e911). However, indoor environments are full of barriers, which attenuate and scatter signals that make it challenging to provide high coverage in a cost-effective and reliable manner at scale. In this dissertation, we will show steps towards designing scalable indoor localization systems in a systematic manner that perform effectively across unpredictable environments and are compatible with several emerging technologies. Specifically, we focus on the class of range-based beacon technologies because(1) they can provide accurate ranges given line-of-sight, (2) they can instantly determine a location without requiring devices to move long distances and (3) thereare growing standards for range-based technologies such as 802.11mc, BLE5 and ultra-wideband. Unfortunately, installing and mapping beacons is both expensiveand time consuming, which continues to hinder adoption. Further, acquiring location from ranges in realistic settings can be inaccurate and slow when a low density ofbeacons and non-line-of-sight signals are encountered. While having an abundance of beacons increases accuracy and decreases the time to acquire the initial location,it also increases the cost of the system. This thesis aims to lower the barrier to adoption of range-based beacon technologies by reducing the infrastructure requiredwhile maintaining high performance in terms of accuracy and time taken to acquire the location and orientation. Our approach leverages additional sources of locationinformation, like geometrical constraints from floor plans to acquire location with a reduced number of beacons, magnetic sensing to rapidly acquire orientation and visualinertial odometry for setup and continuous tracking. We present techniques for location estimation and system provisioning, including beacon placement and mapgeneration, and show how these techniques apply to CPS applications like mobile augmented reality and first-responder localization.
A study on the daily life and coffeehouse culture in Gaziantep: Tahmis Coffeehouse

The nineteenth century may be seen as a rupture in the field of history regarding its changing focus from glorious narratives of empires, wars and treatises to lives of ordinary people and individual stories. The actors of historical narrative ignored up to that time came to the forefront with the new micro-historical approach and individual stories gained importance in historical process. By using oral history, the very beginning of the social structures of societies can be revealed and a new historical narrative can be constructed upon daily life events and micro-histories. In a parallel vein, in the twentieth century, researchers studied individuals and their role in construction of society to re-interpret social and cultural conditions under the title of cultural studies. Importantly, culture is handled as an accumulation of shared values and daily life praxis and public spaces are regarded as valuable cores where collectively shared values are spatialized in the urban context. In this paper, the historical Tahmis Coffeehouse in Gaziantep is determined as case and micro-historical and cultural studies are combined to construct a connection between past and present by intertwining oral narratives of Coffeehouse regulars to written evidence. This interconnection is found precious because Tahmis Coffeehouse is a public space involved in daily life routine of the city lively with its traces from the history carried by the building itself and its regulars by revealing how it was used as a political and social space connecting its regulars to social, cultural and political context of the time.
A Smart Bench Press Machine: Automatic Weight Control Sensitive to User Tiredness

In order to provide a safe free-weight-training environment to people without workout trainers, we suggest a smart bench press machine with an automatic weight control system sensitive to user tiredness. Physical weight plates on the machine are replaced with a hydraulic cylinder as a press load and the cylinder knob is coupled with a step motor to change its tensile force automatically in-between lifting exercises. Three subjects participated to verify the usability of the smart bench press machine. They were asked to lift a 6-RM press load 10 times with 3 different lifting conditions: 1) no assistance, 2) a human assistance, and 3) the automatic weight control. All subjects were not able to complete the 10 sets without assistance due to tiredness, but they finished the full sets under the two assistive conditions. Average lifting speeds under the automatic weight control condition showed the most consistent level. Normalized quasi-tension data based on surface electromyogram signals of both Pectoralis Majors revealed that the subjects maintained the target muscle activation level above 50% but not more than 80% throughout the 10 sets. Therefore, the smart bench press machine is expected to both keep pace with the lifting exercise and reduce risk of injuries due to excessive muscle tensions.
Can routinely collected electronic health data be used to develop novel healthcare associated infection surveillance tools

and full text retrieval: 688 Abstract and full text review: 348and full text review: 348 Total Included: 130 Exclusion due to not meeting criteria: 218 Descriptive results: 95 Modelling: 15 Case Definitions: 13 Abstracts: 25 Other: 70 Exclusion due to foreign language: 181 Exclusion due to availability: 159 (most were not found due to incomplete/incorrect reference) Exclusion due to duplication: 2,327 Exclusion due to irrelevance: 6,538
Ergonomic Education and Training for Surgical Assistant Trainees

There is a growing awareness of the physical demands of performing surgery and the need for ergonomic education and training, extending beyond the primary surgeon to other members of the surgical team who are also at risk for musculoskeletal injury. In this study, nine Surgical First Assistants received knowledge-based ergonomic education before their body postures were evaluated using inertial measurement units in an anatomy training lab setting and again in the operating room (OR). Five of those trainees comprised the intervention group, receiving a personalized report detailing their level of ergonomic risk, while the other four did not receive this individual feedback. The intervention group significantly improved their neck and left arm posture during the anatomy lab training with carryover into the OR, indicating some retention of ergonomic concepts, while the control group did not. The integration of wearable technology and individualized feedback into traditional educational settings helped trainees learn about their own behaviors and practice strategies for reducing risks in the OR with greater retention compared to knowledge-based education alone.
A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks

Modern power systems depend on cyber-physical systems to link physical devices and control technologies. A major concern in the implementation of smart power networks is to minimize the risk of data privacy violation (e.g., by adversaries using data poisoning and inference attacks). In this article, we propose a privacy-preserving framework to achieve both privacy and security in smart power networks. The framework includes two main modules: a two-level privacy module and an anomaly detection module. In the two-level privacy module, an enhanced-proof-of-work-technique-based blockchain is designed to verify data integrity and mitigate data poisoning attacks, and a variational autoencoder is simultaneously applied for transforming data into an encoded format for preventing inference attacks. In the anomaly detection module, a long short-term memory deep learning technique is used for training and validating the outputs of the two-level privacy module using two public datasets. The results highlight that the proposed framework can efficiently protect data of smart power networks and discover abnormal behaviors, in comparison to several state-of-the-art techniques.
The Impact of Coup d'états on the Relationship between Stock Market and Exchange Rate: Evidence from Thailand

This study investigates a dynamic relationship between the Stock Exchange of Thailand (SET) index and the exchange rate of Thai Baht and US dollar (THB/USD) by using daily data for the period of Coup d'état in Thailand during 2006 to 2016. In the long run test, the Johansen's cointegration analysis shows significant long-run relationship during the pre-Coup d'état 2006 and the pre-Coup d'état 2014, but the Coup d'état 2006 and the Coup d'état 2014 are vice versa. The Granger causality tests in all periods show uni-directional causality except the Coup d'état 2006. In the short run test, the SET index shocks in all periods negatively affect the exchange rate of THB/USD except the Coup d'état 2014. In summary, the Coup d'états influence on the compose of the SET index and the exchange rate of THB/USD in both long-run and short-run relationship based on the evidence from Thailand. rate of THB/USD responses a negative shock to the SET index. On the other side, the SET index responses a significant low negative shock to the exchange rate of THB/USD. The relationships in all periods remain stable at zero after five days. In the short run, however, the shock from the exchange rate of THB/USD to the SET index shows a positive association only during Coup d'état 2014. For the response to itself, both the exchange rate of THB/USD and the SET index show a significant positive shock then a quick react to zero. Consequently, all the impulse-response functions test show not persistent in more extended periods.
Semi-Synchronized Non-Blocking Concurrent Kernel Cruising

Kernel heap buffer overflow vulnerabilities have been exposed for decades, but there are few practical countermeasures that can be applied to OS kernels. Previous solutions either suffer from high performance overhead or compatibility problems with mainstream kernels and hardware. In this article, we present Kruiser, a concurrent kernel heap buffer overflow monitor. Unlike conventional methods, the security enforcement of which is usually inlined into the kernel execution, Kruiser migrates security enforcement from the kernel’s normal execution to a concurrent monitor process, leveraging the increasingly popular multi-core architectures. To reduce the synchronization overhead between the monitor process and the running kernel, we design a novel semi-synchronized non-blocking monitoring algorithm, which enables efficient runtime detection on live memory without incurring false positives. To prevent the monitor process from being tampered and provide guaranteed performance isolation, we utilize the virtualization technology to run the monitor process out of the monitored VM, while heap memory allocation information is collected inside the monitored VM in a secure and efficient way. The hybrid VM monitoring technique combined with the secure canary that cannot be counterfeited by attackers provides guaranteed overflow detection with high efficiency. We have implemented a prototype of Kruiser based on Linux and the Xen/KVM hypervisor. The evaluation shows that Kruiser can detect realistic kernel heap buffer overflow attacks in cloud environment effectively with minimal cost.