Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing of a Mat-heuristic Algorithm for Solving Bi-level Optimization Problems

In this paper, a new algorithm for solving bi-level optimization problems is presented. This algorithm can obtain the optimal or near-optimal solution for any bi-level optimization problem. The decision variables of the first and second level models can be both integers and continuous. In this method, by solving a certain number of the bi-objective programming model and then solving the corresponding second-level model, a bi-level feasible solution that is either optimal or near-optimal is identified. To evaluate the efficiency of the algorithm, the value of the objective function, as well as its computation time in different instances, are compared with exact methods as well as evolution-based methods. The numerical results confirm the high efficiency of the proposed algorithm.
Learning and Adaptation-Based Position-Tracking Controller for Rover Vehicle Applications Considering Actuator Dynamics

This article suggests an intelligent position-tracking control algorithm for rover vehicles considering actuator (dc motor) dynamics. The parameter and load uncertainties in the vehicle and dc motor dynamics are explicitly handled by modifying the original open-loop system dynamics. The proposed controller forms the conventional multiloop structure including disturbance observers for each loop. The features of this article fall into the following three parts: first, the learning part from the real-time feedback gain mechanism (named the self-tuner) in the closed-form for outer loop; second, the adaptation part from the online wheel radius estimation securing the outer-loop control accuracy; and third, the parameter-independent angular acceleration observer-based pole-zero cancellation dc motor speed controller without current feedback considering the inner- and outer-loop vehicle control algorithms. Experimental evidence is also provided to demonstrate the practical merits of the proposed technique with the use of the TETRIX, myRIO-1900, and LabVIEW.
An unresectable gastric cancer with bulky lymph node metastases treated with SOX chemotherapy plus apatinib followed by D3 radical gastrectomy: a case report

Conversion therapy for gastric cancer (GC) has been the subject of much recent attention. GC patients with bulky lymph node metastases were usually considered oncologically unresectable and surgery could be challenging and tumor shrinkage may serve to facilitate resection. Previous studies reported satisfactory survival data were obtained in the series of neoadjuvant studies with bulky N disease. However, the evidence of combining neoadjuvant chemotherapy with targeted therapy for patients with bulky N disease is inadequate. We report a 52-year-old man who was diagnosed with unresectable GC with bulky lymph node metastases after endoscopic biopsy and abdominal enhanced computed tomography (CT) examination. Histopathology confirmed poorly differentiated adenocarcinoma at the junction of the antrum and the body of the stomach. Abdominal enhanced CT showed marked thickening of more than two-thirds of the stomach wall and multiple enlarged and coalesced perigastric and extragastric lymph nodes. The clinical staging was cT4aN3M0. The patient was administered two cycles of S-1 and oxaliplatin (SOX regimen) plus apatinib. Repeat abdominal enhanced CT demonstrated decrease in stomach wall thickness and in the sizes of all perigastric and extragastric lymph nodes (<1.0 cm). D2 gastrectomy with para-aortic lymph node dissection was performed after 5 weeks. Pathological examination of resected specimen revealed a ypT4bN0M0 poorly differentiated adenocarcinoma. All 140 lymph nodes that were examined were negative. SOX chemotherapy regime was advised after surgery, but had to be discontinued after two cycles because of severe side effects. The patient has been followed up regularly for more than 2 years with enhanced abdominal CT and the examination of tumor markers. No recurrence or metastasis has been identified till the time of submission of this article. Our treatment experience might provide a reference for the treatment of GC patients with bulky lymph node metastases.
A Comprehensive Survey on Effective Spectrum Sensing in 5G Wireless Networks through Cognitive Radio Networks

Spectrum sensing is a challenging issue in cognitive radio network. In particular, wideband spectrum sensing gains more attention due to emerging 5G wireless networks characterized by high data rates in the order of hundreds of Gbps. Conventional sensing techniques uses samples for its observations based on Nyquist rate. Due to hardware cost and sampling rate limitations those techniques can sense only one band at a time. In spite of this issue secondary users have to sense multiple frequency bands using frontend technologies which leads into increased cost, time and complexity. Considering the facts and issues, compressive sensing was introduced to minimize the computation time by improving the sensing process even for high dimensional resources. Holding the essential information and reduces the sample size which is related to high dimensional data acquisition is performed in compressive sensing. In the last decade various researchers paid more attention to improve the performance of compressive sensing in cognitive radio networks based on sensing matrix, sparse representation and recovery process. This survey paper provides an in-depth analysis of conventional models and its sensing strategies in cognitive radio networks along with its merits and demerits to obtain a detailed insight about compressive sensing.
Riparian Vegetation Structure Influences Terrestrial Invertebrate Communities in an Agricultural Landscape

Stream and terrestrial ecosystems are intimately connected by riparian zones that support high biodiversity but are also vulnerable to human impacts. Landscape disturbances, overgrazing, and diffuse pollution of agrochemicals threaten riparian biodiversity and the delivery of ecosystem services in agricultural landscapes. We assessed how terrestrial invertebrate communities respond to changes in riparian vegetation in Romanian agricultural catchments, with a focus on the role of forested riparian buffers. Riparian invertebrates were sampled in 10 paired sites, with each pair consisting of an unbuffered upstream reach and a downstream reach buffered with woody riparian vegetation. Our results revealed distinct invertebrate community structures in the two site types. Out of 33 invertebrate families, 13 were unique to either forested (6) or unbuffered (7) sites. Thomisidae, Clubionidae, Tetragnathidae, Curculionidae, Culicidae, and Cicadidae were associated with forested buffers, while Lycosidae, Chrysomelidae, Staphylinidae, Coccinellidae, Tettigoniidae, Formicidae, and Eutichuridae were more abundant in unbuffered sites. Despite statistically equivocal results, invertebrate diversity was generally higher in forested riparian buffers. Local riparian attributes significantly influenced patterns in invertebrate community composition. Our findings highlight the importance of local woody riparian buffers in maintaining terrestrial invertebrate diversity and their potential contribution as a multifunctional management tool in agricultural landscapes.
Experimental investigation of three-dimensional modes in the wake of a rotationally oscillating cylinder

Abstract Three-dimensionalities in the wake of flow past a circular cylinder executing sinusoidal rotary oscillations about its axis is studied experimentally. The results of water tunnel experiments on a rotationally oscillating cylinder for Reynolds number of 250 with varying amplitude and forcing frequency are discussed. Qualitative studies using hydrogen bubble and laser-induced fluorescence flow visualisation techniques are performed. Observation made for oscillating amplitude, $\theta _{0} = {\rm \pi}/4$ and $\theta _{0}=3{\rm \pi} /4$, and a low normalised forcing frequency, $FR$, of 0.75 and 0.5, respectively, confirmed a mode having a spanwise non-dimensional wavelength of $\sim$1.8 which is also observed for a rotating cylinder. On increasing forcing frequency this mode disappears and a new mode with a bean-shaped structure and a much smaller spanwise normalised wavelength of $\sim$0.8 appears at an $FR$ of 1 and an oscillation amplitude of ${\rm \pi} /2$. This mode remains almost stable until a forcing frequency of $FR=1.4$. At higher forcing frequency, $FR=2.75$, and oscillation amplitude of $3{\rm \pi} /4$, a mode with cellular structure and a normalised spanwise wavelength of $\sim$1.6 is identified. The cells in this mode flatten up with increasing downstream distance and are shed alternately with respect to the adjacent cell. Certain combinations of forcing parameters resulted in a forced two-dimensionality of the wake. Quantitative studies using hot-wire measurements and particle image velocimetry confirm the presence of these modes and wake characteristics. Wake mode map in the forcing frequency and amplitude plane is presented showing regions of newly discovered modes and wake lock-on boundaries.
국가암검진사업에서 디지털 유방촬영술의 현황과 과제

국가암검진사업에서 매년 400만 명 이상의 여성이 유방촬영술을 이용한 유방암 검진을 받고 있다. 2000년 디지털 유방촬영술의 도입 이후, 선행 연구들에 의하면 디지털 유방촬영술은 치밀유방을 가진 여성에서 제한적으로 기존의 필름 방식 또는 computed radiography (이하 CR)보다 높은 진단 정확도를 보고하였다. 최근 국가암검진사업에서 수행된 자료를 분석한 결과에 따르면 디지털 유방촬영술의 진단 정확도가 필름 또는 CR 방식에 비해서 치밀유방을 가진 여성뿐만 아니라 모든 연령대의 여성에서 검진 횟수와 상관없이 보다 정확하였다. 우리나라는 OECD 국가 중에서도 높은 유방촬영기기 보급률에도 불구하고 현재 디지털 유방촬영기기의 보급은 전체 유방촬영기기 중, 35% 정도 수준으로 더디기만 하다. 디지털 유방촬영기기로의 신속한 전환을 위하여 수가제도의 개선, 유방 영상 판독 교육 지원 등 관련법과 제도의 정비가 필요할 것이다. 아울러 국가암검진사업에서 보다 많은 여성이 디지털 유방촬영기기를 이용한 유방암 검진을 받을 수 있도록 장비 보급의 지역 간 격차 해소를 위해 노력해야 할 것이다.
Microstructure and mechanical properties of AlNiCuCoX high-entropy Alloy

AlNiCuCoX (X=Cr, CrTi, CrFe, FeTi and CrFeTi) series high-entropy alloys were prepared by vacuum arc furnace. The microstructures and properties of the alloys were analyzed. The results show that the microstructures of AlNiCuCoX alloys are composed of FCC solid solution and BCC solid solution, and the number of phases formed in the alloys is far lower than that predicted by equilibrium phase law. AlNiCuCoCrTi shows chrysanthemum like microstructure, while AlNiCuCoFeTi and AlNiCuCoCrFeTi alloys shows petal-like, chrysanthemum like and reticular (intercrystalline) white microstructure. The principal element is the key factor affecting the solidification mode (hypoeutectic, eutectic and hypereutectic solidification) of AlNiCuCoX series alloys. If the interdendritic phase is not considered, AlNiCuCoCr and AlNiCuCoCrFe high-entropy alloys are solidified in the end-solid solution solidification mode. When Ti is added, the alloy is solidified in the hypoeutectic solidification mode, and the equilibrium microstructure is composed of primary phase and eutectic. The microhardness of the most alloys increased with the increase of the number of principal elements, and the hardness of AlNiCuCoCrFeTi alloys is the highest (548HV). The compressive strength and strain of most AlNiCuCoX alloys are low (especially AlNiCuCoCrFeTi alloy). Both AlNiCuCoCr and AlNiCuCoCrFe alloys have better comprehensive mechanical properties.
Efficacy of Alpha Blockers in Relieving Symptoms of JJ Stent

Introduction: JJ stenting has been routinely used in endourology with a wide variety of implications. These stents have beneficial effects in postoperative period improving surgical outcome. Though they are widely used in urology practice, JJ stents cause lower urinary tract symptoms (LUTS) in majority of patients.
Detection Technique of Software-induced Rowhammer Attacks

: Side-channel attacks have recently progressed into software-induced attacks. In particular, a rowhammer attack, which exploits the characteristics of dynamic random access memory (DRAM), can quickly and continuously access the cells as the cell density of DRAM increases, thereby generating a disturbance error affecting the neighboring cells, resulting in bit flips. Although a rowhammer attack is a highly sophisticated attack in which disturbance errors are deliberately generated into data bits, it has been reported that it can be exploited on various platforms such as mobile devices, web browsers, and virtual machines. Furthermore, there have been studies on bypassing the defense measures of DRAM manufacturers and the like to respond to rowhammer attacks. A rowhammer attack can control user access and compromise the integrity of sensitive data with attacks such as a privilege escalation and an alteration of the encryption keys. In an attempt to mitigate a rowhammer attack, various hardware- and software-based mitigation techniques are being studied, but there are limitations in that the research methods do not detect the rowhammer attack in advance, causing overhead or degradation of the system performance. Therefore, in this study, a rowhammer attack detection technique is proposed by extracting common features of rowhammer attack files through a static analysis of rowhammer attack codes.
Insect fauna associated with small millets in mid hills of Uttarakhand

India is the largest producer of small millets, which are often referred to as coarse cereals. Various biotic variables significantly affect the output and productivity of these small millets and among them, insect pests are major production barriers that cause high crop losses from sowing to crop harvesting. Although the current status of all the pests affecting small millet crops in Uttarakhand is unknown but shoot fly and stem borer have been identified as major pests of small millets in mid hills of Uttarakhand. Major small millets growing areas as well as various trials conducted under AICRP on Small Millets at Ranichauri Centre, VCSG UUHF, Bharsar, Uttarakhand were surveyed at different crop stages in ten different locations during Kharif- 2019 and Kharif- 2020 to ascertain the status of insect fauna associated with the small millets. A total of sixteen species of insect pests damaging small millets from seedling stage to harvesting were reported. During survey, it was found that shoot fly caused infestation during early crop stage while stem borer induced infestation was noticed during the later crop stage. Shoot fly infestation contributed to stunted crop growth and side tillering with dead heart structure with potential to inflict damage up to 36.67 percent in state varieties of barnyard millet when control measures were not intervened at Gaja farm while stem borer infestation produced white ear heads and stem tunneling with maximum infestation of 33.33 percent in finger millet at Gaja farm and 20.00 percent infestation in barnyard millet at Gunogi village. Grasshopper caused infestation was in the range of 13.33 to 26.67 percent and 13.33 to 33.33 percent and aphid infestation ranged between 10.00 to 20.83 percent and 6.67 to 20.00 percent in finger millet and barnyard millet, respectively at different locations. The flea beetle, semilooper, chaffer beetle, sting bug and other pests were also reported in surveyed small millet crops as occasional occurrence. The present study thus contributed in the data available on insect fauna associated with small millets, major insect pests causing damage from seedling to harvesting stage along with average per cent infestation and their respective nature of damage and damaging stage in mid hills of Uttarakhand.
The Potential Minerals of Bay Leaf (Syzygium Polyanthum): To Support Woman in Pregnancy and Breastfeeding

— Pregnant and Breastfeeding women are vulnerable group for experiencing nutritional deficiencies. Indonesia has many diverse plants which have potential to overcome various micronutrients and macronutrients deficiencies among pregnant and breastfeeding women. One of the plant that has potential to overcome nutritional deficiencies namely Bay Leaf (Syzygium Polyanthum). Previous research on animals has proven that the Bay Leaf extract has high of iron content. This research was conducted by improving the technology of Bay Leaf processing which expected to increase its influence on the body, especially for handling of micronutrients and macronutrients deficiencies.
Operational implementation of the burned area component of the
Copernicus Climate Change Service: from MODIS 250 m to OLCI
300 m data

Abstract. This paper presents a new global, operational burned area (BA) product at 300 m, called C3SBA10, generated from Sentinel-3 Ocean and Land Colour Instrument (OLCI) near-infrared (NIR) reflectance and Moderate Resolution Imaging Spectroradiometer (MODIS) thermal anomaly data. This product was generated within the Copernicus Climate Change Service (C3S). Since C3S is a European service, it aims to use extensively the European Copernicus satellite missions, named Sentinels. Therefore, one of the components of the service is adapting previous developed algorithms to the Sentinel sensors. In the case of BA datasets, the precursor BA dataset (FireCCI51), which was developed within the European Space Agency's (ESA) Climate Change Initiative (CCI), was based on the 250 m-resolution NIR band of the MODIS sensor, and the effort has been focused on adapting this BA algorithm to the characteristics of the Sentinel-3 OLCI sensor, which provides similar spatial and temporal resolution to MODIS. As the precursor BA algorithm, the OLCI's one combines thermal anomalies and spectral information in a two-phase approach, where first thermal anomalies with a high probability of being burned are selected, reducing commission errors, and then a contextual growing is applied to fully detect the BA patch, reducing omission errors. The new BA product includes the full time-series of S3 OLCI data (2017–present). Following the specifications of the FireCCI project, the final datasets are provided in two different formats: monthly full-resolution continental tiles, and monthly global files with aggregated data at 0.25-degree resolution. To facilitate the use by global vegetation dynamics and atmospheric emission models several auxiliary layers were included, such as land cover and cloud-free observations. The C3SBA10 product detected 3.77 Mkm2, 3.59 Mkm2, and 3.63 Mkm2 of annual BA from 2017 to 2019, respectively. The quality and consistency assessment of C3SBA10 and the precursor FireCCI51 was done for the common period (2017–2019). The global spatial validation was performed using reference data derived from Landsat-8 images, following a stratified random sampling design. The C3SBA10 showed commission errors between 14–22 % and omission errors from 50 to 53 %, similar to those presented by the FireCCI51 product. The temporal reporting accuracy was also validated using 4.7 million active fires. 88 % of the detections were made within 10 days after the fire by both products. The spatial and temporal consistency assessment performed between C3SBA10 and FireCCI51 using four different grid sizes (0.05o, 0.10o, 0.25o, and 0.50o) showed global, annual correlations between 0.93 and 0.99. This high consistency between both products ensures a global BA data provision from 2001 to present. The datasets are freely available through the Copernicus Climate Data Store (CDS) repository (DOI: https://doi.org/10.24381/cds.f333cf85 , Lizundia-Loiola et al. (2020a)).
A regioselective C7 bromination and C7 palladium-catalyzed Suzuki–Miyaura cross-coupling arylation of 4-substituted NH-free indazoles

A direct and efficient regioselective C7-bromination of 4-substituted 1H-indazole has been achieved. Subsequently, a successful palladium-mediated Suzuki–Miyaura reaction of C7-bromo-4-substituted-1H-indazoles with boronic acids has been performed under optimized reaction conditions. A series of new C7 arylated 4-substituted 1H-indazoles was obtained in moderate to good yields.
Biometric Data as Real-Time Measure of Physiological Reactions to Environmental Stimuli in the Built Environment

The physiological and cognitive effects of environmental stimuli from the built environment on humans have been studied for more than a century, over short time frames in terms of comfort, and over long-time frames in terms of health and wellbeing. The strong interdependence of objective and subjective factors in these fields of study has traditionally involved the necessity to rely on a number of qualitative sources of information, as self-report variables, which however, raise criticisms concerning their reliability and precision. Recent advancements in sensing technology and data processing methodologies have strongly contributed towards a renewed interest in biometric data as a potential high-precision tool to study the physiological effects of selected stimuli on humans using more objective and real-time measures. Within this context, this review reports on a broader spectrum of available and advanced biosensing techniques used in the fields of building engineering, human physiology, neurology, and psychology. The interaction and interdependence between (i) indoor environmental parameters and (ii) biosignals identifying human physiological response to the environmental stressors are systematically explored. Online databases ScienceDirect, Scopus, MDPI and ResearchGate were scanned to gather all relevant publications in the last 20 years, identifying and listing tools and methods of biometric data collection, assessing the potentials and drawbacks of the most relevant techniques. The review aims to support the introduction of biomedical signals as a tool for understanding the physiological aspects of indoor comfort in the view of achieving an improved balance between human resilience and building resilience, addressing human indoor health as well as energetic and environmental building performance.
Sponge cities and sustainable drainage systems: sharing best practice in China and the UK

Flooding from rivers, surface water and the sea is a major hazard in many cities of the world and is expected to increase in the future due to climate change. With funding from the UK-China Urban Flooding Research Impact Programme, part of the UK-China Newton Fund, researchers and practitioners from both countries are collaborating on a project which focuses on surface water flooding and aims to enhance technical co-operation and knowledge-sharing in urban flood risk management. A comparison of current approaches to urban flood risk management in China and the UK is presented, and a case study of the benefits of Sponge City construction in the city of Wuhan, China is used by way of demonstration. Interventions to increase infiltration rates and on-site storage prove most effective for the 1-year return period, but have a more limited effect as flood event rarity increases. The paper discusses how similar results have been found in the UK for case studies of Sustainable Drainage Systems (SuDS), either installed in new urban developments or retrofitted in older ones. These studies also recognise the multiple benefits brought by the installation of green infrastructure, particularly in terms of community engagement and well-being.