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Epilepsy is characterized by the occurrence of epileptic events, ranging from brief bursts of interictal epileptiform brain activity to their most dramatic manifestation as clinically overt bilateral tonic–clonic seizures. Epileptic events are often modulated in a patient-specific way, for example by sleep. But they also reveal temporal patterns not only on ultra- and circadian, but also on multidien scales. Thus, to accurately track the dynamics of epilepsy and to thereby enable and improve personalized diagnostics and therapies, user-friendly systems for long-term out-of-hospital recordings of electrical brain signals are needed. Here, we present two wearable devices, namely ULTEEM and ULTEEMNite, to address this unmet need. We demonstrate how the usability concerns of the patients and the signal quality requirements of the clinicians have been incorporated in the design. Upon testbench verification of the devices, ULTEEM was successfully benchmarked against a reference EEG device in a pilot clinical study. ULTEEMNite was shown to record typical macro- and micro-sleep EEG characteristics in a proof-of-concept study. We conclude by discussing how these devices can be further improved and become particularly useful for a better understanding of the relationships between sleep, epilepsy, and neurodegeneration.

Here, the authors show that the resolution and speed limitations in broadband photo-acoustic spectroscopy can be overcome by combining dual-comb spectroscopy with photo-acoustic detection. This enables broadband detection and allows for rapid and sensitive multi-species molecular analysis across all wavelengths of light.

Neurology is focused on a model where patients receive their care through repeated visits to clinics and doctor’s offices. Diagnostic tests often require expensive and specialized equipment that are only available in clinics. However, this current model has significant drawbacks. First, diagnostic tests, such as daytime EEG and sleep studies, occur under artificial conditions in the clinic, which may mask or wrongly emphasize clinically important features. Second, early detection and high-quality management of chronic neurological disorders require repeat measurements to accurately capture the dynamics of the disease process, which is impractical to execute in the clinic for economical and logistical reasons. Third, clinic visits remain inaccessible to many patients due to geographical and economical circumstances. Fourth, global disruptions to daily life, such as the one caused by COVID-19, can seriously harm patients if access to in-person clinical visits for diagnostic and treatment purposes is throttled. Thus, translating diagnostic and treatment procedures to patients’ homes will convey multiple substantial benefits and has the potential to substantially improve clinical outcomes while reducing cost. NeuroTec was founded to accelerate the re-imagining of neurology and to promote the convergence of technological, scientific, medical and societal processes. The goal is to identify and validate new digital biomarkers that can close the last mile in neurology by enabling the translation of personalized diagnostics and therapeutic interventions from the clinic to the patient’s home.

Lung sounds acquired by stethoscopes are extensively used in diagnosing and differentiating respiratory diseases. Although an extensive know-how has been built to interpret these sounds and identify diseases associated with certain patterns, its effective use is limited to individual experience of practitioners. This user-dependency manifests itself as a factor impeding the digital transformation of this valuable diagnostic tool, which can improve patient outcomes by continuous long-term respiratory monitoring under real-life conditions. Particularly patients suffering from respiratory diseases with progressive nature, such as chronic obstructive pulmonary diseases, are expected to benefit from long-term monitoring. Recently, the COVID-19 pandemic has also shown the lack of respiratory monitoring systems which are ready to deploy in operational conditions while requiring minimal patient education. To address particularly the latter subject, in this article, we present a sound acquisition module which can be integrated into a dedicated garment; thus, minimizing the role of the patient for positioning the stethoscope and applying the appropriate pressure. We have implemented a diaphragm-less acousto-electric transducer by stacking a silicone rubber and a piezoelectric film to capture thoracic sounds with minimum attenuation. Furthermore, we benchmarked our device with an electronic stethoscope widely used in clinical practice to quantify its performance.

Teknolojik gelişmeler ve pandemi gibi zorunlu durumlar nedeniyle yeni iş modelleri ve bu iş modellerine göre yeni yönetim anlayışları geliştirmek gerekmektedir. Uzaktan çalışma da yeni bir yönetim anlayışı gerektiren iş modellerinden biridir. Uzaktan çalışma ortamı bankalara maliyetleri düşürme, çalışan bağlılığı, yetenekleri elde tutma ve yetenek kazanımı bakımından avantajlar sağlayabilmektedir. Özellikle pazarda rekabetçi avantajı kazanmak isteyen katılım bankalarının uzaktan çalışma ortamına entegre olabilmeleri için çalışanların tutum ve algılarının en az işletmelerin belirleyecekleri yönetim anlayışı ve uygulamalar kadar önem kazanmaktadır. Bu çalışmanın amacı katılım bankalarındaki çalışanların uzaktan çalışma tutumları ve dönüşümcü liderlik algılarının örgütsel bağlılık üzerindeki etkisini birlikte incelemektir. Bu anlamda uzaktan çalışma tutumu, dönüşümcü liderlik ve örgütsel bağlılık ilişkilerini ayrı ayrı inceleyen literatüre katkı sunulmaktadır. Bu çalışma için nicel araştırma tasarımı benimsenmiştir. Araştırmanın verileri, Türkiye’deki katılım bankalarında çalışan 520 kişiden rastgele örnekleme yöntemi ve çevrimiçi anket tekniğiyle toplanmıştır. Çalışanlardan 61 tanesi sadece ofis ortamında çalıştıkları için doldurdukları anketler kapsam dışı bırakılmıştır. Araştırmadaki veriler yapısal eşitlik modellemesi kullanılarak AMOS 23 programı ile analiz edilmiştir. Araştırmanın bulguları, katılım bankası çalışanlarının uzaktan çalışma tutumu ve dönüşümcü liderlik algılarının örgütsel bağlılık üzerinde pozitif ve anlamlı yönde etkilediği sonucuna ulaşılmıştır.

As the effects of anthropogenic climate change, the frequency and severity of heat waves and drought are increasing day by day in many parts of the world. Droughts and heat waves are often interrelated disasters. Prolonged heat waves often cause drought to occur and/or exacerbate existing drought. These types of disasters cause great losses and damages especially in agricultural production. In this study; By examining the examples of drought and heat wave disasters in different parts of the world, the effects of these disaster types on agricultural production have been tried to be explained. Within the scope of this study, disaster reports, magazines, books and internet news were examined. According to the data obtained; It was determined that crop production, animal production, natural resources, human capital and economy were negatively affected. It has been observed that especially yield and product loss are experienced in cultivated products. It has been determined that there are situations such as a decrease in the yield of fresh grass in the pasture areas and the disappearance of the pasture areas. Losses in cultivated crops for forage crops and fresh grass in pasture areas cause an increase in feed prices and serious problems in feed supply. The increase in feed prices and the problems experienced in the supply of feed cause yield loss in animal products and a decrease in the number of animals fed. Economically, it has been determined that there are effects such as price increase, production cost increase, and decrease in exports.

Disaster is an event that results in serious physical and death of large number of people, because of earthquake, tsunami, flood, landslide, volcano eruption, hurricane, hose, airplane accidents, train accidents, nuclear power plant accidents, explosions and terrorist attacks. Urban search and rescue works are important for finding people and animals trapped under the collapsed structure after the collapse of buildings as a result of earthquakes, terrorist attacks and landslides. The initiation of urban search and rescue activities in the first hours of the disaster increases the rate of live removal of the stranded. The survival rate of the victims 50% decreases, after the first 24 hours. According to the data obtained from numerous cases especially related to earthquakes, it was stated that 50-95% survivors after the disaster were rescued by the local people within the first 24-48 hours. However, there is need for professional teams to reach the victims who are trapped under rubble and are difficult to access. Secondary collapses due to aftershocks and other causes in the collapsed structure (collapses during removal or fixation of debris, and collapses due to the search of relatives on the debris of the relatives, etc.), dangerous leakage of gas, and leakage of access routes to the casualty. These are threats to the safety of urban search and rescue teams. These threats prevent search and rescue personnel from being effective and efficient in urban search and rescue activities. In urban search and rescue activities, local people and professional teams, as well as actors such as dogs, robots, seismic and acoustic (listening) devices and imaging devices are also involved. Each of these actors can be used effectively and efficiently in different tasks and urban search and rescue activities, but it has the characteristics of completing each other. In this study, the positions of disaster volunteers, professional search and rescue personnel, search and rescue dogs, listening and video search devices and robots in search and rescue activities were investigated.

In this study, mathematical modelling of asymmetric involute spur gears was situated in by Litvin approach. In this context, firstly, mathematical expressions of rack cutter which manufacture asymmetric involute spur gear, then mathematical expression of asymmetric involute spur gear were obtained by using differential geometry, coordinate transformation and gear theory. Mathematical expressions were modelled in MATLAB and output files including points of involute spur gear’s teeth were designed automatically thanks to macros.