Soil nutrients assessment has great importance in horticulture. Implementation of an information system for horticulture faces many challenges: (i) great spatial variability within farms (e.g., hilly topography); (ii) different soil properties (e.g., different water holding capacity, different content in sand, sit, clay, and soil organic matter, different pH, and different permeability) for different cultivated plants; (iii) different soil nutrient uptake by different cultivated plants; (iv) small size of monoculture; and (v) great variety of farm components, agroecological zone, and socio-economic factors. Advances in information and communication technologies enable creation of low cost, efficient information systems that would improve resources management and increase productivity and sustainability of horticultural farms. We present an information system based on different sensing capability, Internet of Things, and mobile application for horticultural farms. An overview on different techniques and technologies for soil fertility evaluation is also presented. The results obtained in a botanical garden that simulates the diversity of environment and plant diversity of a horticultural farm are discussed considering the challenges identified in the literature and field research. The study provides a theoretical basis and technical support for the development of technologies that enable horticultural farmers to improve resources management.

In the last decade, the clinical reasoning in physical therapy has been to develop systems for physiotherapists to make clinical decisions rapidly, effectively and efficiently, in response to the increasingly complex needs of health and rehabilitation units [1]-[3]. Some studies show the importance of walking aids during rehabilitation from some diseases, and after surgery for arthroplasty in the elderly population [4], and in elderly patients with balance disorders, muscle weakness [5] or in people with diabetes mellitus [6]. Walkers are important devices that aid the rehabilitation process. The use of a walker is recommended for gait changes and imbalance due to various factors, such as surgery of the lower limbs or neurodegenerative changes, especially in the early recovery period [7].

The article presents a smart wheelchair characterized by embedded sensors and an acquisition, processing and communication platform based on a multifunction I/O module and an embedded PC for monitoring of physiological stress parameters and motion activity of the wheelchair user in unobtrusive way. The embedded sensors include E-textile electrodes attached to the wheelchair arms and a 3D MEMS accelerometer used to extract the motion activity information. Additional sensing channels, expressed by piezoresistive flexible force sensors are used to optimize the measurement of contact ECG and skin conductivity. A server application, developed in LabVIEW and hosted on the embedded computer, delivers information about the digital processed signals to the client application installed in mobile platforms such as tablet PC or smartphones. The mobile platform provides interface for nurses, physiotherapists or physicians as well as for the wheelchair user or informal caregivers.

Low-resource languages remain underserved by contemporary large language models (LLMs) because they lack sizable corpora, bespoke preprocessing tools, and the computing budgets assumed by mainstream alignment pipelines. Focusing on Kazakh, we present a 1.94B parameter LLaMA-based model that demonstrates how strong, culturally aligned performance can be achieved without massive infrastructure. The contribution is threefold. (i) Data and tokenization—we compile a rigorously cleaned, mixed-domain Kazakh corpus and design a tokenizer that respects the language’s agglutinative morphology, mixed-script usage, and diacritics. (ii) Training recipe—the model is built in two stages: causal language modeling from scratch followed by instruction tuning. Alignment is further refined with Direct Preference Optimization (DPO), extended by contrastive and entropy-based regularization to stabilize training under sparse, noisy preference signals. Two complementary resources support this step: ChatTune-DPO, a crowd-sourced set of human preference pairs, and Pseudo-DPO, an automatically generated alternative that repurposes instruction data to reduce annotation cost. (iii) Evaluation and impact—qualitative and task-specific assessments show that targeted monolingual training and the proposed DPO variant markedly improve factuality, coherence, and cultural fidelity over baseline instruction-only and multilingual counterparts. The model and datasets are released under open licenses, offering a reproducible blueprint for extending state-of-the-art language modeling to other under-represented languages and domains.

Human gait is a complex motion that implies the movement of different parts of the body such as arms, legs and feet, being the functional human movements' analysis indispensable for bio-mechanical diagnostic and treatment tool for clinics and rehabilitation services. During the rehabilitation process, walkers are frequently prescribed to improve the patient's stability but can also be transformed into instruments for quantitative evaluation of rehabilitation progress by embedding sensors to capture the motion characteristics. In this work, a practical approach concerning the possibilities to use microwave Doppler radars embedded in four wheels walkers for gait capture is presented. The signals acquired from the sensors are processed using time-frequency transform such as STFT. A set of gait characteristics, such as gait velocity and stride rate, are extracted based on wavelet signal processing, STFT spectrogram and moving average filtering. A set of spectrogram features is calculated to discriminate between normal and abnormal gait.

The 1451.1 standard addresses the definition of a network capable application processor (NCAP). The NCAP is a piece of hardware and software that acts as a bridge between transducers and the communication network. On the field side, an abstraction layer provides high-level functionality to communicate with transducers. On the network side, an abstraction layer provides high-level functionality to handle network requests. In the middle, the control routine adds intelligence to the NCAP by running algorithms that process the data received by both sides (the field and the network) and decide the next state of the system. The software architecture of the 1451.1 Std. is based on an information model, a data model, and two network communication models.The diversity of fieldbuses and network protocols leads a manufacturer to closed, less-flexible, and generally more-expensive solutions.