Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Noncoherent Detection in Massive MIMO Systems via Digital Beamspace Preprocessing

Noncoherent detection in massive multiple-input/multiple-output (MIMO) uplink systems provides a low-complexity alternative to its coherent counterpart. Requiring no actual channel knowledge but the per-user induced power at the base station, comparable performance as channel-estimation-based detection can be achieved when the users are located in the near-field of the base station. However, noncoherent detection fails in scenarios where users are in the far-field due to an insufficient capability to separate the users in terms of their spatially induced power. For this purpose, a dielectric lens or an analog beamforming structure can be employed, which are capable to focus the power of the incident waves to a smaller subset of the antennas at the base station. These so-called analog beamspace techniques have been demonstrated to enable again the noncoherent detection scheme. Analogous to a spatial Fourier transform, beamspace techniques can be also realized in the digital domain offering more flexibility. Its applicability to noncoherent detection is studied in this paper. It is shown numerically that by means of digital beamspace preprocessing, considerable performance gains can be achieved. Applied in dominant line-of-sight channels, a large number of users can be accommodated and the residual performance gap to coherent detection with perfect channel knowledge is minimal.
Guidelines for implementing group counseling using a gestalt counseling approach to reduce student aggressivity

Aggressiveness among adolescents in Vocational High Schools has increased significantly. Group counseling services in schools are rarely used to prevent drug abuse. Most group counseling is used to solve several problems, such as learning, personal, social, and career problems. This study aims to produce simple, valid, and effective guidelines for guidance and counseling teachers / counselors to reduce student aggressiveness. This research is a development (Research and Development) with the ADDIE model (Analysis, Design, Development, Implementation and Evaluation). The subjects of this study were students and supervisors at the Vocational High School in the city of Padang. The validity of this study was carried out by six experts associated with this study and the appearance of guidelines. The usability test was carried out by three supervisors. Data analysis is descriptive and inferential analysis with the Kendals coefficient statistical test. The results showed that: (1) The level of material suitability was very acceptable with a percentage of 93 percent and the appearance of the guidelines was also in the proper category with a percentage of 90.4 percent, (2) The use of group guidance guides using the gestalt counseling approach to reduce student aggressiveness was included in the category. The best with a percentage of 87. It can be concluded that this guideline is appropriate for use by supervisors / counselors as an effort to reduce student aggressiveness in vocational high schools in Padang city
Linear and Exponential Growth Regimes of Multilayers of Weak Polyelectrolytes in Dependence on pH

Multilayers of poly(allyl amine hydrochloride) (PAH) and poly(acrylic acid) (PAA) are formed by layer-by-layer self-assembly at defined pH values and investigated by dissipative quartz-crystal microbalance (QCM-D) and ellipsometry. Five distinct pH regimes with different growth mechanisms and growth laws are identified. At intermediate pH values, a central regime is characterized by linear growth, accompanied by very thin and very rigid films. Adjacent regimes toward higher and lower pH show exponential layer growth, and very soft films are formed. Toward very low and very high pH, again a sharp change of mechanism occurs and the growth law becomes linear again, while very asymmetric and soft layers are formed. The symmetry of the regimes and the respective film properties are attributed to charge dilution of the polyanion or the polycation chain, respectively. In either of the five regimes the mechanism of layer formation is explained by the charge densities along the chains, as supported by ATR-FTIR exp.
Stock allocation in a two-echelon distribution system controlled by (s, S) policies

Stock allocation is an important decision in distribution systems, which determines how the on-hand inventory of an upstream stock is allocated to its immediate downstream stocks if their replenishment orders cannot be fulfilled completely. In the literature, almost all studies assume each stock in a distribution system is controlled by a base stock policy, although a real system may be controlled by (s, S) policies because of the existence of fixed ordering costs. In this paper, we study stock allocation in a real distribution system of Alibaba and propose two easy-to-implement Allocation-to-S methods that are more effective than three well-known rationing rules and a rationing rule currently used in Alibaba. For the 300 instances tested, one of the methods can reduce the expected cost per period by more than 1.5% and improve the service level by more than 1.3% on average with respect to the best of the four rules. In addition, a general procedure is provided to solve the imbalance problem of linear rationing rules which include the rules.
P13 Una experiencia de trabajo con adultos mayores diabéticos y no diabéticos en tiempos de pandemia: el programa “Aprendiendo a vivir”

Introduction: Diabetes mellitus is a chronic metabolic disease with a high frequency in older adults estimated at 30% of this stage of life. Being a systemic disease, it affects all organs and systems, especially the cardiovascular system, vision, kidney, peripheral and central nervous systems. Its management depends on the active participation of the affected person and their environment, for which diabetes education and participation in activities that help maintain physical condition and self-care are essential. For 6 years the extension program "Learning to Live" has been developed between the Faculty of Medical Sciences of the Universidad Nacional Cordoba and “Grupo de Amigos de los Diabeticos” Fundation of Villa Carlos Paz, in order to improve the quality of life of the older adults (AM) with and without diabetes. Goals: To evaluate the effects of the “Learning to Live” program on the psycho-affective health of a group of older adults during the isolation imposed by the SARS-COV 2 pandemic. Materials and methods: The group of participants in the "Learning to Live" program develops two sessions of physical activity adapted to older adults weekly and two psychological stimulation activities through the use of videoconferences. The physical activity sessions are 60 minutes long in which you work through Taekwon-do Harmony, a form adapted to the AM where the whole body is worked, focusing on the prevention of falls and fractures, visuo-spatial orientation, memory and cardiovascular function. During the virtual sessions, psychological activities are carried out, one associated with physical activity and the other independent, both in order to stimulate resilience. The sessions were aimed at accompanying the AM at this stage. They were carried out: a Vital Satisfaction Questionnaire (SWLS) to determine the selfperception of happiness and a reduced Yesavage test to evaluate the levels of depression (a score of 5 or more suggests depression) to the participants of the program “Learning to live”(n=14) and to a control group of older adults with similar socioeconomic characteristics (n=46). The significance of the results obtained was analyzed using the chi square test (p≥0.05).
Redesigning an Undergraduate Global Health Course to Increase Student Engagement and Incorporate High-Impact Educational Practices

In many undergraduate public health programs, global health is an introductory course encountered early in the curriculum. At the University of Hawai‘i at Mānoa, the undergraduate global health course reinforces introductory content within a global health framework while building skills in preparation for upper-division work. The global health course was completely redesigned in January 2018 to increase student engagement and incorporate high-impact educational practices, including experiential learning opportunities, diversity/global learning, and collaborative assignments. New activities incorporated include a water carrying exercise to simulate efforts required for the billions of people worldwide who manually transport water for daily use and a model United Nations scenario-based activity based on a writing assignment proposing an international policy from the position of a selected country. Incorporation of relatively brief written assignments early in the undergraduate public health curriculum additionally serves to support student development of written communication skills throughout the program and helps in early identification of students who may need additional support in writing skills. Assessment of the new course was conducted through student feedback, student performance on assignments, and student growth/development throughout the course. Through successful course redesign students emerge excited about international opportunities for public health practice and with a greater empathy for global citizens living abroad.
Application of Deep Learning in Vehicle Driverless Technology

In recent years, due to the rapid development of deep learning, the application of deep learning in the field of unmanned vehicle driving has achieved good results through a large number of experiments. First of all,this paper introduces the development of driverless technology at home and abroad, then it introduces the theoretical basis of deep learning. The aim is to give readers a quick look at the history and current status of driverless technology and readers can understand the importance of deep learning in the field of driverless technology at the same time. Secondly, this paper introduced different intelligent scene recognition and compared them to find out which technology is more suitable for the current situation. Finally, the paper proposes the optimization scheme that can be improved or improved according to the shortcomings of the intelligent scene recognition technology and the problems and the development prospects of intelligent vehicles.
Fabrication of a refractive microlens integrated onto the monomode fiber

The fabrication of microlenses using a dry resist process is described for the first time. Characteristics of the totally dry process were investigated. A technique for lens positioning and exposure was developed for a scanning electron microscope equipped with an image processor beam control system. The microlenses have a computer generated hyperbolic profile. Microlenses of cylindrical, ring, and elliptical geometry were fabricated on a Si wafer and on the end of a monomode quartz fiber. Focusing of visible and infrared light by a fabricated microlens is demonstrated.
Burst Detection in Water Distribution Systems: The Issue of Dataset Collection

Developing data-driven models for bursts detection is currently a demanding challenge for efficient and sustainable management of water supply systems. The main limit in the progress of these models lies in the large amount of accurate data required. The aim is to present a methodology for the generation of reliable data, which are fundamental to train anomaly detection models and set alarms. Thus, the results of the proposed methodology is to provide suitable water consumption data. The presented procedure consists of stochastic modelling of water request and hydraulic pipes bursts simulation to yield suitable synthetic time series of flow rates, for instance, inlet flows of district metered areas and small water supply systems. The water request is obtained through the superimposition of different components, such as the daily, the weekly, and the yearly trends jointly with a random normal distributed component based on the consumption mean and variance, and the number of users aggregation. The resulting request is implemented into the hydraulic model of the distribution system, also embedding background leaks and bursts using a pressure-driven approach with both concentrated and distributed demand schemes. This work seeks to close the gap in the field of synthetic generation of drinking water consumption data, by establishing a proper dedicated methodology that aims to support future water smart grids.
Comment on “The effect of maternal obesity on the success of labor induction with a cervical ripening double-balloon catheter and on pain perception during catheter insertion”

Dear Editor, We are pleased to read the article “The effect of maternal obesity on the success of labor induction with a cervical ripening double-balloon catheter and on pain perception during catheter insertion” (1) by Kınay et al. (1) in Gülhane Medical Journal. In their study, the authors aimed to determine the impact of maternal body mass index (BMI) on the success of labor induction with a cervical ripening double-balloon catheter and to evaluate pain perception during catheter insertion. They also checked the cesarean delivery rates, normal delivery rates within 24 hours of labor induction, and visual analog scale pain scores during double-balloon catheter insertion between the women with a BMI at or above 30 kg/ m2 and women with a BMI <30 kg/m2. This study is important since it evaluates and provides data for the mechanical cervical ripening and pharmacological cervical ripening agents have some drawbacks due to side effects. It will be nice if the authors have a chance to compare single balloon systems with double balloon systems in their future studies, since single balloon systems may be economically more convenient (2) and more readily available in limited source settings. Also, it would have been nice to see whether the outcomes of the study would be different if BMI stratifications of normal (BMI: 18.5-24.9), overweight (BMI: 25-29.9), obese (BMI: 30-39.9) and very obese (BMI: over 40) had been used, rather than only non-obese and obese stratification. Of course, this would necessitate a higher number of participants. As for the pain scores in the study, it has been mentioned by Torensma et al. (3) that some obese patient groups have lower pain thresholds, and some have higher pain thresholds, and Kınay et al.’s (1) study adds valuable data to the current literature.
Ammonia Volatilization from Liquid Swine Manure Applied to Cropland

Randomized complete block design field experiments were conducted to determine the effects of rates and methods of liquid swine manure application on volatile NH/sub 3/-N losses from cropland. In addition, a greenhouse study was conducted to determine the effect of wind on the rate of NH/sub 3/-N volatilization from soil and the accuracy of NH/sub 3/-N loss measurements under field conditions. A partially closed system was utilized to directly collect volatilized NH/sub 3/-N from microplots. The NH/sub 3/-N collection system did not accurately estimate volatile N losses when windy conditions existed as often encountered in the field. Using direct measurement of NH/sub 4//sup +/-N in waste before and after exposure to the atmosphere to correct for the low estimates of NH/sub 3/-N loss under field conditions, an average of 48.1% of the volatilized N was collected under greenhouse conditions with relatively constant temperature and wind. The rate of NH/sub 3/-N loss from manure increased with increasing temperature and air movement. The proportions of the applied NH/sub 4//sup +/-N lost as NH/sub 3/-N during a 3.5-day sampling period in the spring from swine manure (pH 6.4) applied to soil (pH 6.4) and corrected for the effect of wind were: 14.0%, 12.2%,more » and 11.2% for the 90, 135, and 180 metric ton/ha, respectively, of surface applied liquid swine manure; 2.5% for both the 90 and 180 metric ton rates, respectively, of injected liquid swine manure; 14.7% for surface applied urea fertilizer (168 kg N/ha); and 65.8% of the applied NH/sub 4//sup +/-N from swine manure surface applied (90 metric tons/ha) on a plastic liner. Fresh swine manure (pH 7.8) surface applied at the rate of 135 metric tons/ha on greenhouse loam soil (pH 7.0) lost 82.5% of the applied NH/sub 4//sup +/-N in an 8-day sampling period. « less
Construction 4.0: A Literature Review

The construction industry is experiencing changes in its processes and work methods, and the advancement of new technologies in recent decades has led to a new concept known as Construction 4.0, coined in 2016 in Germany. Since its definition is still diffuse, it was deemed necessary to conduct a review on the publications in this field to grasp how this concept is being understood. For that purpose, a bibliometric analysis was conducted among 260 research articles using seven keywords. The results reveal that the number of publications is growing exponentially, with the USA, the UK, and China being leaders in this field; besides, four technologies are essential to understand Construction 4.0 at present time: 3D printing, big data, virtual reality, and Internet of Things. The results of this review suggest that further reviews should be conducted every 3 years to grasp the rapid evolution of Construction 4.0.
De-Globalisation? Global Value Chains in the Post-COVID-19 Age

This paper evaluates the extent to which the world economy has entered a phase of de-globalisation, and it offers some speculative thoughts on the future of global value chains in the post-COVID-19 age. Although the growth of international trade flows relative to that of GDP has slowed down since the Great Recession, this paper finds little systematic evidence indicating that the world economy has already entered an era of de-globalisation. Instead, the observed slowdown in globalisation is a natural sequel to the unsustainable increase in globalisation experienced in the late 1980s, 1990s and early 2000s. I offer a description of the mechanisms leading to that earlier expansionary phase, together with a discussion of why these forces might have run out of steam, and of the extent to which they may be reversible. I conclude that the main challenge for the future of globalisation is institutional and political in nature rather than technological, although new technologies might aggravate the trends in inequality that have created the current political backlash against globalisation. Zooming in on the COVID-19 global pandemic, I similarly conclude that the current health crisis may further darken the future of globalisation if it aggravates policy tensions across countries.
Deeplabv3+ semantic segmentation model based on feature cross attention mechanism

Aiming at the problem that the deeplabv3+ model is not accurate in segmentation of the image target edge, the image feature fitting is slow, and the attention information cannot be effectively used. It is proposed to add a feature cross attention module (FCA) to the model. The cross-attention network is composed of two branches and a feature cross attention module. Among them, the shallow branch is used to extract low-level spatial information, and the deep branch is used to extract high-level context features to make important feature extraction more refined. This paper designs and realizes the connection between Feature Cross Attention module and Deeplabv3+ coding module, input the output features of the Deeplabv3+ encoding module into the feature cross attention module for convolution operation to realize the recalibration of the original features. The decoding module of Deeplabv3+ obtains spatial features and channel features from two branches respectively, and then merges the obtained features to obtain more important features. The improved model was validated by the Pascal Voc2012 data set, and the results showed that the ratio of average intersection and the average pixel accuracy were increased by 1.96% and 2.84%, respectively. The model added with FCA can effectively improve the shortcomings of the original model, can segment the target more finely, and better solve the problem of rough segmentation boundary.
Giant vesicles under flows: Extrusion and retraction of tubes

The formation of membrane tubes (or tethers), which is a crucial event in many biological processes, is intrinsically a dynamic process. In this paper, we discuss both theoretically and experimentally the dynamical laws that govern extrusion and retraction of tubes extracted from lipid vesicles at high speed and under strong flows. A detailed description of the tether shape provides the first evidence that the tension along the tube increases from the vesicle body to the tip of the tube, while the tube radius decreases. As the pulling force is suppressed suddenly, the tube can relax only from the free end, and the velocity of retraction is a direct measurement of the frozen tension along the tube. We also report experiments on tethers pulled out either by mechanical point-forces or by hydrodynamic (electroosmosis-induced) flow, and we show that the observed dynamical laws for retraction are in good quantitative agreement with our theoretical predictions.
Long-term relative decline in evapotranspiration with increasing
runoff on fractional land surfaces

Abstract. Evapotranspiration (ET) accompanied by water and heat transport in the hydrological cycle is a key component in regulating surface aridity. Existing studies on changes in surface aridity have typically estimated ET using semi-empirical equations or parameterizations of land surface processes, which are based on the assumption that the parameters in the equation are stationary. However, plant physiological effects and its response to a changing environment are dynamically modifying ET, thereby challenging this assumption and limiting the estimation of long-term ET. In this study, the latent heat flux (ET in energy units) and sensible heat flux were retrieved for recent decades on a global scale using machine learning approach and driven by ground-based observations from flux towers and weather stations. The study resulted in several findings, namely that the evaporative fraction (EF) – the ratio of latent heat flux to available surface energy – exhibited a relatively decreasing trend on fractional land surfaces; In particular, the decrease in EF was accompanied by an increase in long-term runoff as assessed by precipitation (P) minus ET, accounting for 27.06 % of the global land areas. The signs were indicative of reduced surface conductance, which further emphasized that land-surface vegetation has major impacts on regulating the water and energy cycles, as well as aridity variability.
Biosorption of Direct Yellow 12 from aqueous solution using green alga Ulva lactuca

The potential of commonly available green alga Ulva lactuca was investigated as viable biomaterials for removal of synthetic azo dye (Direct Yellow 12, DY-12) from aqueous solution. The results obtained from the batch experiments revealed that the ability of the U. lactuca to remove DY-12 from its aqueous solution was dependent on the dye concentration, pH, and algal biomass but less dependent on the particle size of the U. lactuca. The equilibrium conditions and kinetics of adsorption were investigated, and the adsorption kinetic was consistent with the pseudo-second-order model (R 2=1). The adsorption isotherm followed only the Freundlich model with a correlation coefficient R 2=0.99. This study demonstrated that the U. lactuca could be used as an effective biosorbent for the removal of DY-12 from its aqueous solution.